# Index

A B C D E F G H I J L M N O P Q R S T U V W X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

## A

AbstractBottomUpParser - Class in opennlp.tools.parser
  Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.
AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Constructor for class opennlp.tools.parser.AbstractBottomUpParser
AbstractContextGenerator - Class in opennlp.tools.parser
  Abstract class containing many of the methods used to generate contexts for parsing.
AbstractContextGenerator() - Constructor for class opennlp.tools.parser.AbstractContextGenerator
AbstractDataIndexer - Class in opennlp.tools.ml.model
  Abstract `DataIndexer` implementation for collecting event and context counts used in training.
AbstractDataIndexer() - Constructor for class opennlp.tools.ml.model.AbstractDataIndexer
AbstractEventModelSequenceTrainer - Class in opennlp.tools.ml
  A basic `EventModelSequenceTrainer` implementation that processes `events`.
AbstractEventModelSequenceTrainer() - Constructor for class opennlp.tools.ml.AbstractEventModelSequenceTrainer
AbstractEventStream<T> - Class in opennlp.tools.util
  A base `ObjectStream` implementation for events.
AbstractEventStream(ObjectStream<T>) - Constructor for class opennlp.tools.util.AbstractEventStream
  Initializes an `AbstractEventStream` with a sample `Iterator`.
AbstractEventTrainer - Class in opennlp.tools.ml
  A basic `EventTrainer` implementation.
AbstractEventTrainer() - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractEventTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractEventTrainer
AbstractMLModelWriter - Class in opennlp.tools.ml
AbstractMLModelWriter() - Constructor for class opennlp.tools.ml.AbstractMLModelWriter
AbstractModel - Class in opennlp.tools.ml.model
  A basic `MaxentModel` implementation.
AbstractModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.model.AbstractModel
  Initializes an `AbstractModel`.
AbstractModel.ModelType - Enum Class in opennlp.tools.ml.model
AbstractModelReader - Class in opennlp.tools.ml.model
  An abstract, basic implementation of a model reader.
AbstractModelReader(File) - Constructor for class opennlp.tools.ml.model.AbstractModelReader
  Initializes a `AbstractModelReader` via a `File`.
AbstractModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.AbstractModelReader
  Initializes a `AbstractModelReader` via a `DataReader`.
AbstractModelWriter - Class in opennlp.tools.ml.model
  An abstract, basic implementation of a model writer.
AbstractModelWriter() - Constructor for class opennlp.tools.ml.model.AbstractModelWriter
AbstractObjectStream<T> - Class in opennlp.tools.util
  A base `ObjectStream` implementation.
AbstractParserEventStream - Class in opennlp.tools.parser
  Abstract class extended by parser event streams which perform tagging and chunking.
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.AbstractParserEventStream
AbstractSampleStreamFactory<T,P> - Class in opennlp.tools.formats
  Base class for sample stream factories.
AbstractToSentenceSampleStream<T> - Class in opennlp.tools.formats.convert
AbstractTrainer - Class in opennlp.tools.ml
AbstractTrainer() - Constructor for class opennlp.tools.ml.AbstractTrainer
AbstractTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.AbstractTrainer
  Initializes a `AbstractTrainer` via `TrainingParameters`.
AbstractXmlFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
ACCURACY - Enum constant in enum class opennlp.tools.monitoring.TrainingMeasure
AdaptiveFeatureGenerator - Interface in opennlp.tools.util.featuregen
  An interface for generating features for name entity identification and for updating document level contexts.
ADChunkSampleStream - Class in opennlp.tools.formats.ad
  Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
ADChunkSampleStream(InputStreamFactory, String) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
  Instantiates a `ADChunkSampleStream` stream from an `InputStreamFactory`.
ADChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADChunkSampleStream
  Instantiates a `ADChunkSampleStream` stream from `ObjectStream<String>`, that could be a `PlainTextByLineStream` object.
ADChunkSampleStreamFactory - Class in opennlp.tools.formats.ad
  A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
ADChunkSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad
add(char) - Method in class opennlp.tools.stemmer.PorterStemmer
  Add a character to the word being stemmed.
add(double) - Method in class opennlp.tools.util.eval.Mean
  Adds a value to the arithmetic mean.
add(double, long) - Method in class opennlp.tools.util.eval.Mean
  Adds a value `count` times to the arithmetic mean.
add(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel
  Adds an `ngram`.
add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramCharModel
  Adds a `CharSequence` that will be ngrammed into chars.
add(CharSequence, int, int) - Method in class opennlp.tools.ngram.NGramModel
  Adds character NGrams to the current instance.
add(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
  Adds further tokens.
add(String, double) - Method in class opennlp.tools.util.Sequence
  Adds an outcome and probability to this sequence.
add(IrishSentenceBankDocument.IrishSentenceBankSentence) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
add(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
add(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Adds one NGram, if it already exists the count increase by one.
add(StringList, int, int) - Method in class opennlp.tools.ngram.NGramModel
  Adds NGrams up to the specified length to the current instance.
addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil
  Adds `cutoff` and `iterations` to `manifestInfoEntries`.
addElement(ADSentenceStream.SentenceParser.TreeElement) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface opennlp.tools.namefind.NameContextGenerator
  Adds a feature generator.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Compounds the existing `probability` mass on the label with the new probability passed in to the method.
addIn(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Compounds the existing `probability` mass on the label `t` with the new probability passed in to the method.
addIn(T, double, int) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Compounds the existing probability mass on the label `t` with the new probability passed in to the method.
additionalContext(String[], Map<String, String>) - Static method in class opennlp.tools.namefind.NameFinderEventStream
  Generated previous decision features for each token based on contents of the specified `prevMap`.
AdditionalContextFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `AdditionalContextFeatureGenerator` generates the context from the passed in additional context.
AdditionalContextFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
additionalData() - Method in record class opennlp.tools.util.TokenTag
  Returns the value of the `additionalData` record component.
addNames(String, Span[], Parse[]) - Static method in class opennlp.tools.parser.Parse
  Utility method to insert named entities.
addNextPunctuation(Parse) - Method in class opennlp.tools.parser.Parse
  Designates that the specified punctuation follows this parse.
addPreviousPunctuation(Parse) - Method in class opennlp.tools.parser.Parse
  Designates that the specified punctuation should is prior to this parse.
addProb(double) - Method in class opennlp.tools.parser.Parse
  Adds the specified `logProb` to this current log for this parse.
adjoin(Parse, HeadRules) - Method in class opennlp.tools.parser.Parse
  Sister adjoins this node's last child and the specified sister node and returns their new parent node.
adjoinRoot(Parse, HeadRules, int) - Method in class opennlp.tools.parser.Parse
ADNameSampleStream - Class in opennlp.tools.formats.ad
  Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
ADNameSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream
  Deprecated, for removal: This API element is subject to removal in a future version.
ADNameSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADNameSampleStream
  Initializes a new `ADNameSampleStream` stream from a `ObjectStream<String>`, that could be a `PlainTextByLineStream` object.
ADNameSampleStreamFactory - Class in opennlp.tools.formats.ad
  A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
ADNameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad
ADPOSSampleStream - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADPOSSampleStream(InputStreamFactory, String, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream
  Creates a new `POSSample` stream from an `InputStreamFactory`
ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Constructor for class opennlp.tools.formats.ad.ADPOSSampleStream
  Creates a new `ADPOSSampleStream` stream from a `ObjectStream<String>`, that could be a `PlainTextByLineStream` object.
ADPOSSampleStreamFactory - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad
ADSentenceSampleStream - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADSentenceSampleStream(InputStreamFactory, String, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
  Initializes a new `ADSentenceSampleStream`.
ADSentenceSampleStream(ObjectStream<String>, boolean) - Constructor for class opennlp.tools.formats.ad.ADSentenceSampleStream
  Initializes a new `ADSentenceSampleStream` from a `ObjectStream<String>`, that could be a `PlainTextByLineStream` object.
ADSentenceSampleStreamFactory - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad
ADSentenceStream - Class in opennlp.tools.formats.ad
  Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.
ADSentenceStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ad.ADSentenceStream
ADSentenceStream.Sentence - Record Class in opennlp.tools.formats.ad
ADSentenceStream.SentenceParser - Class in opennlp.tools.formats.ad
  Parses a sample of AD corpus.
ADSentenceStream.SentenceParser.Leaf - Class in opennlp.tools.formats.ad
  Represents the AD leaf
ADSentenceStream.SentenceParser.Node - Class in opennlp.tools.formats.ad
  Represents the AD node
ADSentenceStream.SentenceParser.TreeElement - Class in opennlp.tools.formats.ad
  Represents a tree element, Node or Leaf
ADTokenSampleStreamFactory - Class in opennlp.tools.formats.ad
  Note: Do not use this class, internal use only!
ADTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.ad
AggregateCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  A `CharSequenceNormalizer` implementation that aggregates the functionality of other normalizers.
AggregateCharSequenceNormalizer(CharSequenceNormalizer...) - Constructor for class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
AggregatedFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `AggregatedFeatureGenerator` aggregates a set of `feature generators` and calls them to generate the features.
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Initializes an `AggregatedFeatureGenerator` via specified `generators`.
AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Initializes an `AggregatedFeatureGenerator` via specified `generators`.
AggregatedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `AggregatedFeatureGenerator` instances when `AggregatedFeatureGeneratorFactory.create()` is called.
AggregatedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
algorithm() - Method in class opennlp.tools.util.TrainingParameters
algorithm(String) - Method in class opennlp.tools.util.TrainingParameters
ALGORITHM_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
Among - Class in opennlp.tools.stemmer.snowball
  Internal class used by Snowball stemmers
Among(String, int, int) - Constructor for class opennlp.tools.stemmer.snowball.Among
Among(String, int, int, String, MethodHandles.Lookup) - Constructor for class opennlp.tools.stemmer.snowball.Among
AncoraSpanishHeadRules - Class in opennlp.tools.parser.lang.es
  Class for storing the Ancora Spanish head rules associated with parsing.
AncoraSpanishHeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
  Creates a new set of head rules based on the specified reader.
AncoraSpanishHeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.es
AnnotationConfiguration - Class in opennlp.tools.formats.brat
  Encapsulates a type to class mapping for entities, relations, events, etc.
AnnotationConfiguration(Map<String, String>) - Constructor for class opennlp.tools.formats.brat.AnnotationConfiguration
  Initializes an `AnnotationConfiguration` with the specified `typeToClassMap`.
AnnotatorNoteAnnotation - Class in opennlp.tools.formats.brat
ARABIC - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
arabicStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
arabicStemmer() - Constructor for class opennlp.tools.stemmer.snowball.arabicStemmer
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BilouCodec
  `B requires CL or L, C requires BL, L requires B, O requires any valid combo/unit, U requires none.`
areOutcomesCompatible(String[]) - Method in class opennlp.tools.namefind.BioCodec
areOutcomesCompatible(String[]) - Method in interface opennlp.tools.util.SequenceCodec
  Checks if the `outcomes` of a model are compatible with this `SequenceCodec`.
argmax(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Finds the index of the maximum element in a vector `x`
ArrayMath - Class in opennlp.tools.ml
  Utility class for simple vector arithmetic.
ArrayMath() - Constructor for class opennlp.tools.ml.ArrayMath
ArtifactProvider - Interface in opennlp.tools.util.model
  Provides access to model persisted artifacts.
ArtifactSerializer<T> - Interface in opennlp.tools.util.model
  Responsible to create an artifact from an `InputStream`.
asStringSet() - Method in class opennlp.tools.dictionary.Dictionary
  Converts this `Dictionary` to a `Set<String>`.
ATTACH - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Class in opennlp.tools.parser.treeinsert
  Generates predictive contexts for deciding how constituents should be attached.
AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator
  Instantiates an `AttachContextGenerator` for making decisions about attachments.
ATTRIBUTE_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
AttributeAnnotation - Class in opennlp.tools.formats.brat
attributes() - Method in record class opennlp.tools.dictionary.serializer.Entry
  Returns the value of the `attributes` record component.
Attributes - Class in opennlp.tools.dictionary.serializer
  The `Attributes` class stores name value pairs.
Attributes() - Constructor for class opennlp.tools.dictionary.serializer.Attributes

## B

BagOfWordsFeatureGenerator - Class in opennlp.tools.doccat
  Generates a feature for each word in a document.
BagOfWordsFeatureGenerator() - Constructor for class opennlp.tools.doccat.BagOfWordsFeatureGenerator
  Instantiates a default `BagOfWordsFeatureGenerator` instance.
BaseLink - Class in opennlp.tools.entitylinker
  Represents a minimal tuple of information.
BaseLink(String, String, String, String) - Constructor for class opennlp.tools.entitylinker.BaseLink
BaseModel - Class in opennlp.tools.util.model
  This is a common base model which can be used by the components' specific model classes.
BaseToolFactory - Class in opennlp.tools.util
  Base class for all tool `factories`.
BaseToolFactory() - Constructor for class opennlp.tools.util.BaseToolFactory
  All subclasses should have an empty constructor
BasicContextGenerator - Class in opennlp.tools.ml.maxent
  A `ContextGenerator` implementation for maxent decisions, assuming that the input given to the `BasicContextGenerator.getContext(String)` method is a String containing contextual predicates separated by spaces, for instance:
BasicContextGenerator() - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
BasicContextGenerator(String) - Constructor for class opennlp.tools.ml.maxent.BasicContextGenerator
  Initializes a `BasicContextGenerator` with a different separator char.
BasicFormatParams - Interface in opennlp.tools.cmdline.params
  Common format parameters.
BasicTrainingParams - Interface in opennlp.tools.cmdline.params
  Common training parameters.
BEAM_SIZE_PARAMETER - Static variable in class opennlp.tools.ml.BeamSearch
BeamSearch - Class in opennlp.tools.ml
  Performs k-best search over a sequence.
BeamSearch(int, MaxentModel) - Constructor for class opennlp.tools.ml.BeamSearch
  Initializes a `BeamSearch` instance.
BeamSearch(int, MaxentModel, int) - Constructor for class opennlp.tools.ml.BeamSearch
  Initializes a `BeamSearch` instance.
BeamSearchContextGenerator<T> - Interface in opennlp.tools.util
  Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
  Computes the best sequence of outcomes based on the `MaxentModel`.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Finds the `Sequence` with the highest probability.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
  Computes the best sequence of outcomes based on the `MaxentModel`.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Finds the n most probable `sequences` with the highest probability.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in class opennlp.tools.ml.BeamSearch
  Computes the best sequence of outcomes based on the `MaxentModel`.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
  Finds the n most probable `sequences` with the highest probability.
BigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
  Adds bigram features based on tokens and token classes.
BigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
BigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `BigramNameFeatureGenerator` instances when `BigramNameFeatureGeneratorFactory.create()` is called.
BigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
BilouCodec - Class in opennlp.tools.namefind
  The default `SequenceCodec` implementation according to the `BILOU` scheme.
BilouCodec() - Constructor for class opennlp.tools.namefind.BilouCodec
BilouNameFinderSequenceValidator - Class in opennlp.tools.namefind
  A `SequenceValidator` implementation for the `BilouCodec`.
BilouNameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.BilouNameFinderSequenceValidator
BinaryFileDataReader - Class in opennlp.tools.ml.model
  A `DataReader` that reads files from a binary format.
BinaryFileDataReader(DataInputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
  Instantiates `BinaryFileDataReader` via an `DataInputStream`.
BinaryFileDataReader(File) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
  Instantiates `BinaryFileDataReader` via a `File` and creates a `DataInputStream` for it.
BinaryFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.BinaryFileDataReader
  Instantiates `BinaryFileDataReader` via an `InputStream` and creates a `DataInputStream` for it.
BinaryGISModelReader - Class in opennlp.tools.ml.maxent.io
  A `GISModelReader` that reads models from a binary format.
BinaryGISModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelReader
  Instantiates `BinaryGISModelReader` via a `DataInputStream` containing the model contents.
BinaryGISModelWriter - Class in opennlp.tools.ml.maxent.io
  A `GISModelWriter` that writes models in a binary format.
BinaryGISModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Instantiates `BinaryGISModelWriter` via an `GIS model` and a `DataOutputStream`.
BinaryGISModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Instantiates `BinaryGISModelWriter` via an `GIS model` and a `File`.
BinaryNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
  A `NaiveBayesModelReader` that reads models from a binary format.
BinaryNaiveBayesModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader
  Instantiates `BinaryNaiveBayesModelReader` via a `DataInputStream` containing the model contents.
BinaryNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader
  Instantiates `BinaryNaiveBayesModelReader` via a `File` and creates a reader for it.
BinaryNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes
  A `NaiveBayesModelWriter` that writes models in a binary format.
BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
  Instantiates `BinaryNaiveBayesModelWriter` via an `naive bayes model` and a `DataOutputStream`.
BinaryNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
  Instantiates `BinaryNaiveBayesModelWriter` via an `naive bayes model` and a `File`.
BinaryPerceptronModelReader - Class in opennlp.tools.ml.perceptron
  A `PerceptronModelReader` that reads models from a binary format.
BinaryPerceptronModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader
  Instantiates `BinaryPerceptronModelReader` via a `DataInputStream` containing the model contents.
BinaryPerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelReader
  Instantiates `BinaryPerceptronModelReader` via a `File` and creates a reader for it.
BinaryPerceptronModelWriter - Class in opennlp.tools.ml.perceptron
  A `PerceptronModelWriter` that writes models in a binary format.
BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
  Instantiates `BinaryPerceptronModelWriter` via an `perceptron model` and a `DataOutputStream`.
BinaryPerceptronModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
  Instantiates `BinaryPerceptronModelWriter` via an `perceptron model` and a `File`.
BinaryQNModelReader - Class in opennlp.tools.ml.maxent.io
  A `QNModelReader` that reads models from a binary format.
BinaryQNModelReader(DataInputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelReader
  Instantiates `BinaryQNModelReader` via a `DataInputStream` containing the model contents.
BinaryQNModelWriter - Class in opennlp.tools.ml.maxent.io
  A `QNModelWriter` that writes models in a binary format.
BinaryQNModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Instantiates `BinaryQNModelWriter` via an `QN model` and a `DataOutputStream`.
BinaryQNModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Instantiates `BinaryQNModelWriter` via an `QN model` and a `File`.
BioCodec - Class in opennlp.tools.namefind
  The default `SequenceCodec` implementation according to the `BIO` scheme: B: 'beginning' of a NE I: 'inside', the word is inside a NE O: 'outside', the word is a regular word outside a NE See also the paper by Roth D. and Ratinov L.: Design Challenges and Misconceptions in Named Entity Recognition.
BioCodec() - Constructor for class opennlp.tools.namefind.BioCodec
BioNLP2004NameSampleStream - Class in opennlp.tools.formats
  A `sample stream` for the training files of the BioNLP/NLPBA 2004 shared task.
BioNLP2004NameSampleStream(InputStreamFactory, int) - Constructor for class opennlp.tools.formats.BioNLP2004NameSampleStream
  Initializes a `BioNLP2004NameSampleStream`.
BioNLP2004NameSampleStreamFactory - Class in opennlp.tools.formats
BioNLP2004NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
BRACKET_LCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_LSB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RCB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RRB - Static variable in class opennlp.tools.parser.Parse
BRACKET_RSB - Static variable in class opennlp.tools.parser.Parse
BratAnnotation - Class in opennlp.tools.formats.brat
BratAnnotationStream - Class in opennlp.tools.formats.brat
  Reads the annotations from the brat `.ann` annotation file.
BratDocument - Class in opennlp.tools.formats.brat
  Brat (brat rapid annotation tool) is based on the stav visualiser which was originally made in order to visualise BioNLP'11 Shared Task data.
BratDocument(AnnotationConfiguration, String, String, Collection<BratAnnotation>) - Constructor for class opennlp.tools.formats.brat.BratDocument
BratDocumentParser - Class in opennlp.tools.formats.brat
BratDocumentParser(SentenceDetector, Tokenizer) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser
BratDocumentParser(SentenceDetector, Tokenizer, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratDocumentParser
BratDocumentStream - Class in opennlp.tools.formats.brat
BratDocumentStream(AnnotationConfiguration, File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.brat.BratDocumentStream
  Creates a `BratDocumentStream` which reads the documents from the given input directory.
BratNameSampleStream - Class in opennlp.tools.formats.brat
  Generates Name Sample objects for a Brat Document object.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Initializes a new `BratNameSampleStream` with the specified parameters based on a straem of `documents`.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Creates a new `BratNameSampleStream`.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Initializes a new `BratNameSampleStream` with the specified (model) parameters.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>, Set<String>) - Constructor for class opennlp.tools.formats.brat.BratNameSampleStream
  Creates a new `BratNameSampleStream`.
BratNameSampleStreamFactory - Class in opennlp.tools.formats.brat
  Note: Do not use this class, internal use only!
BratNameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.brat
BrownBigramFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates Brown cluster features for token bigrams.
BrownBigramFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator
  Initializes a `BrownBigramFeatureGenerator` generator via a specified `BrownCluster`.
BrownCluster - Class in opennlp.tools.util.featuregen
  Class to load a Brown cluster document in the format: `word\tword_class\tprob`.
BrownCluster(InputStream) - Constructor for class opennlp.tools.util.featuregen.BrownCluster
  Instatiates a `BrownCluster` and its related token to cluster map via an `InputStream`.
BrownCluster.BrownClusterSerializer - Class in opennlp.tools.util.featuregen
BrownClusterBigramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `BrownBigramFeatureGenerator` instances when `BrownClusterBigramFeatureGeneratorFactory.create()` is called.
BrownClusterBigramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
BrownClusterSerializer() - Constructor for class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
BrownClusterTokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `BrownTokenClassFeatureGenerator` instances when `BrownClusterTokenClassFeatureGeneratorFactory.create()` is called.
BrownClusterTokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
BrownClusterTokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `BrownTokenFeatureGenerator` instances when `BrownClusterTokenFeatureGeneratorFactory.create()` is called.
BrownClusterTokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
BrownTokenClasses - Class in opennlp.tools.util.featuregen
  Obtain the paths listed in the pathLengths array from the Brown class.
BrownTokenClasses() - Constructor for class opennlp.tools.util.featuregen.BrownTokenClasses
BrownTokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates `BrownCluster` features for current token and token class.
BrownTokenClassFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
  Instantiates a `BrownTokenClassFeatureGenerator` via a specified `BrownCluster`.
BrownTokenFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates `BrownCluster` features for current token.
BrownTokenFeatureGenerator(BrownCluster) - Constructor for class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
  Instantiates a `BrownTokenFeatureGenerator` via a specified `BrownCluster`.
BUILD - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
BuildContextGenerator - Class in opennlp.tools.parser.chunking
  Generates predictive contexts for deciding how constituents should be combined.
BuildContextGenerator - Class in opennlp.tools.parser.treeinsert
  Creates the features or contexts for the building phase of parsing.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
  Instantiates a `BuildContextGenerator` for making decisions about combining constituents.
BuildContextGenerator() - Constructor for class opennlp.tools.parser.treeinsert.BuildContextGenerator
  Instantiates a `BuildContextGenerator` for making decisions.
BuildContextGenerator(Dictionary) - Constructor for class opennlp.tools.parser.chunking.BuildContextGenerator
  Instantiates a `BuildContextGenerator` for making decisions about combining constituents using a `Dictionary`.
buildDictionary(ObjectStream<Parse>, HeadRules, int) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Creates a n-gram `Dictionary` from the specified data stream using `HeadRules` and specified cut-off.
buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Creates a n-gram `Dictionary` from the specified data stream using the specified head rule and specified cut-off.
BuildModelUpdaterTool - Class in opennlp.tools.cmdline.parser
BuildModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME
  Constructs a `nGram dictionary` from an `ObjectStream` of samples.
BUILT - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Label used to distinguish build nodes from non-built nodes.
ByteArraySerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for binary data, kept in `byte[]`.
ByteArraySerializer() - Constructor for class opennlp.tools.util.model.ByteArraySerializer

## C

Cache<K,V> - Class in opennlp.tools.util
  Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Constructor for class opennlp.tools.util.Cache
CachedFeatureGenerator - Class in opennlp.tools.util.featuregen
  Caches features of the aggregated `generators`.
CachedFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGenerator
  Deprecated.
CachedFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `CachedFeatureGenerator` instances when `CachedFeatureGeneratorFactory.create()` is called.
CachedFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
calculateBigramMLProbability(String, String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a bigram in a vocabulary using maximum likelihood estimation
calculateBigramPriorSmoothingProbability(String, String, Collection<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm
calculateChecksum() - Method in class opennlp.tools.ml.model.ChecksumEventStream
  Calculates and returns the (current) checksum.
calculateLaplaceSmoothingProbability(StringList, Iterable<StringList>, Double) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
calculateMissingNgramProbabilityMass(StringList, double, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
calculateNgramMLProbability(StringList, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
calculateProbability(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel
  Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.
calculateProbability(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
calculateTrigramLinearInterpolationProbability(String, String, String, Collection<StringList>, Double, Double, Double) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm
calculateTrigramMLProbability(String, String, String, Iterable<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a trigram in a vocabulary using maximum likelihood estimation
calculateUnigramMLProbability(String, Collection<StringList>) - Static method in class opennlp.tools.ngram.NGramUtils
  calculate the probability of a unigram in a vocabulary using maximum likelihood estimation
CATALAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
catalanStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
catalanStemmer() - Constructor for class opennlp.tools.stemmer.snowball.catalanStemmer
categorize(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Categorizes the given `text`, provided in separate tokens.
categorize(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
categorize(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Categorizes the given `text` provided as tokens along with the provided `extraInformation`.
categorize(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.DocumentCategorizerME
  Categorize the given `text` provided as tokens along with the provided extra information.
CensusDictionaryCreatorTool - Class in opennlp.tools.cmdline.namefind
  This tool helps create a loadable dictionary for the `NameFinder`, from data collected from US Census data.
CensusDictionaryCreatorTool() - Constructor for class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
CharacterNgramFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `CharacterNgramFeatureGenerator` uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
  Initializes a `CharacterNgramFeatureGenerator` with default values for ngrams.
CharacterNgramFeatureGenerator(int, int) - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
  Initializes a `CharacterNgramFeatureGenerator` with the specified parameters.
CharacterNgramFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `CharacterNgramFeatureGenerator` instances when `CharacterNgramFeatureGeneratorFactory.create()` is called.
CharacterNgramFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
characters(char[], int, int) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
characters(CharSequence) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
  Handles a set of characters between SGML start and end tag.
CharSequenceNormalizer - Interface in opennlp.tools.util.normalizer
  A char sequence normalizer, used to adjusting (prune, substitute, add, etc.)
CHECK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
CheckContextGenerator - Class in opennlp.tools.parser.chunking
  Generates predictive context for deciding when a constituent is complete.
CheckContextGenerator - Class in opennlp.tools.parser.treeinsert
  Generates predictive context for deciding when a constituent is complete.
CheckContextGenerator() - Constructor for class opennlp.tools.parser.chunking.CheckContextGenerator
  Instantiates a `CheckContextGenerator` for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.CheckContextGenerator
  Instantiates a `CheckContextGenerator` for making decisions using a `punctSet`.
checkModelType() - Method in class opennlp.tools.ml.maxent.io.GISModelReader
checkModelType() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
checkModelType() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Checks the model type via the the underlying `DataReader`.
checkModelType() - Method in class opennlp.tools.ml.model.GenericModelReader
checkModelType() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
  Reads the mode type from the underlying reader and informs if it not a `Naive Bayes` model.
checkModelType() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader
  Reads the mode type from the underlying reader and informs if it not a `Perceptron` model.
CheckModelUpdaterTool - Class in opennlp.tools.cmdline.parser
  Trains a new check model.
CheckModelUpdaterTool() - Constructor for class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
ChecksumEventStream - Class in opennlp.tools.ml.model
  A `Checksum`-based `event stream` implementation.
ChecksumEventStream(ObjectStream<Event>) - Constructor for class opennlp.tools.ml.model.ChecksumEventStream
  Initializes an `ChecksumEventStream`.
chunk(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
  Generates chunk tags for the given sequence returning the result in an array.
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
CHUNK - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
  Deprecated.
chunkAsSpans(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
  Generates tagged chunk `spans` for the given sequence returning the result in a `span` array.
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
ChunkContextGenerator - Class in opennlp.tools.parser
  Creates predictive context for the pre-chunking phases of parsing.
ChunkContextGenerator() - Constructor for class opennlp.tools.parser.ChunkContextGenerator
  Initializes a `ChunkContextGenerator` instance.
ChunkContextGenerator(int) - Constructor for class opennlp.tools.parser.ChunkContextGenerator
  Initializes a `ChunkContextGenerator` instance with a custom `cacheSize`.
Chunker - Interface in opennlp.tools.chunker
  The interface for chunkers which provide chunk tags for a sequence of tokens.
CHUNKER - Enum constant in enum class opennlp.tools.models.ModelType
ChunkerContextGenerator - Interface in opennlp.tools.chunker
  Interface for a `BeamSearchContextGenerator` used in syntactic chunking.
ChunkerConverterTool - Class in opennlp.tools.cmdline.chunker
  Tool to convert multiple data formats into native OpenNLP chunker training format.
ChunkerConverterTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerConverterTool
ChunkerCrossValidator - Class in opennlp.tools.chunker
  Cross validator for `Chunker`.
ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerCrossValidator
  Initializes a `ChunkerCrossValidator` instance via given parameters.
ChunkerCrossValidatorTool - Class in opennlp.tools.cmdline.chunker
ChunkerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
ChunkerDetailedFMeasureListener - Class in opennlp.tools.cmdline.chunker
ChunkerDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener
ChunkerEvaluationMonitor - Interface in opennlp.tools.chunker
  A marker interface for evaluating `chunkers`.
ChunkerEvaluator - Class in opennlp.tools.chunker
  The `ChunkerEvaluator` measures the performance of the given `Chunker` with the provided reference `samples`.
ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Constructor for class opennlp.tools.chunker.ChunkerEvaluator
  Initializes a `ChunkerEvaluator` instance with the given `Chunker`.
ChunkerEvaluatorTool - Class in opennlp.tools.cmdline.chunker
  A default `ChunkSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
ChunkerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
ChunkerEventStream - Class in opennlp.tools.chunker
  Class for creating an event stream out of data files for training a `Chunker`.
ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkerEventStream
  Creates a new event stream based on the specified data stream using the given context generator.
ChunkerFactory - Class in opennlp.tools.chunker
ChunkerFactory() - Constructor for class opennlp.tools.chunker.ChunkerFactory
  Creates a `ChunkerFactory` that provides the default implementation of the resources.
ChunkerME - Class in opennlp.tools.chunker
  The class represents a maximum-entropy-based `Chunker`.
ChunkerME(String) - Constructor for class opennlp.tools.chunker.ChunkerME
  Initializes a `Chunker` by downloading a default model.
ChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ChunkerME
  Initializes a `Chunker` with the specified `ChunkerModel`.
ChunkerMETool - Class in opennlp.tools.cmdline.chunker
ChunkerMETool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerMETool
ChunkerModel - Class in opennlp.tools.chunker
  The `ChunkerModel` is the model used by a learnable `Chunker`.
ChunkerModel(File) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via a valid `File`.
ChunkerModel(InputStream) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via a valid `InputStream`.
ChunkerModel(String, MaxentModel, int, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via given parameters.
ChunkerModel(String, MaxentModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via given parameters.
ChunkerModel(String, MaxentModel, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via given parameters.
ChunkerModel(String, SequenceClassificationModel, Map<String, String>, ChunkerFactory) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via given parameters.
ChunkerModel(URL) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via a valid `URL`.
ChunkerModel(Path) - Constructor for class opennlp.tools.chunker.ChunkerModel
  Initializes a `ChunkerModel` instance via a valid `Path`.
ChunkerModelLoader - Class in opennlp.tools.cmdline.chunker
  Loads a `ChunkerModel` for the command line tools.
ChunkerModelLoader() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerModelLoader
ChunkerModelSerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `models`.
ChunkerModelSerializer() - Constructor for class opennlp.tools.util.model.ChunkerModelSerializer
ChunkerSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `ChunkSampleStream`s.
ChunkerSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
ChunkerTrainerTool - Class in opennlp.tools.cmdline.chunker
ChunkerTrainerTool() - Constructor for class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
ChunkEvaluationErrorListener - Class in opennlp.tools.cmdline.chunker
  A default implementation of `EvaluationMonitor` that prints to an output stream.
ChunkEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
ChunkEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
CHUNKING - Enum constant in enum class opennlp.tools.parser.ParserType
ChunkSample - Class in opennlp.tools.chunker
  Class for holding chunks for a single unit of text.
ChunkSample(String[], String[], String[]) - Constructor for class opennlp.tools.chunker.ChunkSample
  Initializes a `ChunkSample` instance.
ChunkSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.chunker.ChunkSample
  Initializes a `ChunkSample` instance.
ChunkSampleSequenceStream - Class in opennlp.tools.chunker
  A `SequenceStream` implementation encapsulating `samples`.
ChunkSampleSequenceStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Constructor for class opennlp.tools.chunker.ChunkSampleSequenceStream
  Creates a `ChunkSampleSequenceStream` with given `samples` using a `ChunkerContextGenerator`.
ChunkSampleStream - Class in opennlp.tools.chunker
  Parses the conll 2000 shared task shallow parser training data.
ChunkSampleStream - Class in opennlp.tools.parser
ChunkSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.chunker.ChunkSampleStream
  Initializes a `instance`.
ChunkSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.ChunkSampleStream
  Initializes a `instance`.
clearAdaptiveData() - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
clearAdaptiveData() - Method in class opennlp.tools.namefind.DictionaryNameFinder
clearAdaptiveData() - Method in interface opennlp.tools.namefind.NameContextGenerator
  Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.
clearAdaptiveData() - Method in class opennlp.tools.namefind.NameFinderME
clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder
clearAdaptiveData() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
clearAdaptiveData() - Method in interface opennlp.tools.namefind.TokenNameFinder
  Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
  Informs a feature generator that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Calls the `AdaptiveFeatureGenerator.clearAdaptiveData()` method on all aggregated `feature generators`.
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
clearAdaptiveData() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
clone() - Method in class opennlp.tools.parser.Parse
clone(Parse) - Method in class opennlp.tools.parser.Parse
  Clones the right frontier of `Parse` up to the specified `node`.
cloneRoot(Parse, int) - Method in class opennlp.tools.parser.Parse
  Clones the right frontier of this root `Parse` up to and including the specified node.
close() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
close() - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
close() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
close() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
close() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
close() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
close() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
close() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
close() - Method in class opennlp.tools.formats.brat.BratDocumentStream
close() - Method in class opennlp.tools.formats.Conll02NameSampleStream
close() - Method in class opennlp.tools.formats.Conll03NameSampleStream
close() - Method in class opennlp.tools.formats.conllu.ConlluStream
close() - Method in class opennlp.tools.formats.DirectorySampleStream
  Closes the `ObjectStream` and releases all allocated resources.
close() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
close() - Method in class opennlp.tools.formats.masc.MascDocumentStream
  Remove the corpus from the memory.
close() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
close() - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
close() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
close() - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
close() - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
close() - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Closes the underlying `DataOutputStream`.
close() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
close() - Method in class opennlp.tools.ml.model.AbstractModelWriter
  Closes the underlying `DataOutputStream`.
close() - Method in class opennlp.tools.ml.model.FileEventStream
close() - Method in class opennlp.tools.ml.model.GenericModelWriter
close() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
close() - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
close() - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
close() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
close() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
close() - Method in class opennlp.tools.postag.POSSampleSequenceStream
close() - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
close() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
close() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
close() - Method in class opennlp.tools.tokenize.TokenizerStream
close() - Method in class opennlp.tools.util.AbstractEventStream
close() - Method in class opennlp.tools.util.AbstractObjectStream
close() - Method in class opennlp.tools.util.CollectionObjectStream
close() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
close() - Method in class opennlp.tools.util.FilterObjectStream
close() - Method in class opennlp.tools.util.model.UncloseableInputStream
  This method does not have any effect, as the `InputStream` cannot be closed.
close() - Method in interface opennlp.tools.util.ObjectStream
  Closes the `ObjectStream` and releases all allocated resources.
close() - Method in class opennlp.tools.util.PlainTextByLineStream
collapsePunctuation(Parse[], Set<String>) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Removes the punctuation from the specified set of `chunks`, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.
CollectionObjectStream<E> - Class in opennlp.tools.util
  An `ObjectStream` implementation that works on a `Collection` of `CollectionObjectStream` as source for elements.
CollectionObjectStream(Collection<E>) - Constructor for class opennlp.tools.util.CollectionObjectStream
ComparableEvent - Class in opennlp.tools.ml.model
  A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
ComparableEvent(int, int[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparableEvent(int, int[], float[]) - Constructor for class opennlp.tools.ml.model.ComparableEvent
ComparablePredicate - Class in opennlp.tools.ml.model
  A maxent predicate representation which we can use to sort based on the outcomes.
ComparablePredicate(String, int[], double[]) - Constructor for class opennlp.tools.ml.model.ComparablePredicate
compareTo(ComparableEvent) - Method in class opennlp.tools.ml.model.ComparableEvent
compareTo(ComparablePredicate) - Method in class opennlp.tools.ml.model.ComparablePredicate
compareTo(Parse) - Method in class opennlp.tools.parser.Parse
compareTo(Sequence) - Method in class opennlp.tools.util.Sequence
compareTo(Span) - Method in class opennlp.tools.util.Span
  Compares the specified `Span` to the current span.
compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList
  Compares to `token list` and ignores the case of the tokens.
complete() - Method in class opennlp.tools.parser.Parse
COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome used when a constituent is complete.
computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class opennlp.tools.util.StringUtil
  Computes the Shortest Edit Script (SES) to convert a word into its lemma.
concatenateObjectStream(Collection<ObjectStream<T>>) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates a single concatenated `ObjectStream` from multiple individual `streams` with the same type `ObjectStreamUtils`.
concatenateObjectStream(ObjectStream<T>...) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates a single concatenated `ObjectStream` from multiple individual `streams` with the same type.
ConfigurablePOSContextGenerator - Class in opennlp.tools.postag
  A configurable `context generator` for a `POSTagger`.
ConfigurablePOSContextGenerator(int, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Initializes a `ConfigurablePOSContextGenerator` instance.
ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Initializes a `ConfigurablePOSContextGenerator` instance.
Conll02NameSampleStream - Class in opennlp.tools.formats
  Parser for the Dutch and Spanish ner training files of the CONLL 2002 shared task.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
  Initializes a `Conll02NameSampleStream`.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll02NameSampleStream
  Initializes a `Conll02NameSampleStream`.
Conll02NameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats
Conll02NameSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
Conll02NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
Conll03NameSampleStream - Class in opennlp.tools.formats
  An import stream which can parse the CONLL03 data.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
  Initializes a `Conll03NameSampleStream`.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.Conll03NameSampleStream
  Initializes a `Conll03NameSampleStream`.
Conll03NameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats
Conll03NameSampleStreamFactory - Class in opennlp.tools.formats
Conll03NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
CONLLU_FORMAT - Static variable in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
ConlluLemmaSampleStream - Class in opennlp.tools.formats.conllu
ConlluLemmaSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluLemmaSampleStream
  Initializes a `ConlluLemmaSampleStream`.
ConlluLemmaSampleStreamFactory - Class in opennlp.tools.formats.conllu
  Note: Do not use this class, internal use only!
ConlluLemmaSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu
ConlluPOSSampleStream - Class in opennlp.tools.formats.conllu
ConlluPOSSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Constructor for class opennlp.tools.formats.conllu.ConlluPOSSampleStream
  Initializes a `ConlluPOSSampleStream`.
ConlluPOSSampleStreamFactory - Class in opennlp.tools.formats.conllu
  Note: Do not use this class, internal use only!
ConlluPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu
ConlluSentence - Class in opennlp.tools.formats.conllu
ConlluSentence(List<ConlluWordLine>, String, String, boolean, String, boolean, String, Map<Locale, String>, String) - Constructor for class opennlp.tools.formats.conllu.ConlluSentence
ConlluSentenceSampleStream - Class in opennlp.tools.formats.conllu
ConlluSentenceSampleStream(ObjectStream<ConlluSentence>, int) - Constructor for class opennlp.tools.formats.conllu.ConlluSentenceSampleStream
  Initializes a `ConlluSentenceSampleStream`.
ConlluSentenceSampleStreamFactory - Class in opennlp.tools.formats.conllu
  Note: Do not use this class, internal use only!
ConlluSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu
ConlluStream - Class in opennlp.tools.formats.conllu
  The CoNNL-U Format is specified here.
ConlluStream(InputStreamFactory) - Constructor for class opennlp.tools.formats.conllu.ConlluStream
  Initializes a `ConlluStream`.
ConlluTagset - Enum Class in opennlp.tools.formats.conllu
ConlluTokenSampleStream - Class in opennlp.tools.formats.conllu
ConlluTokenSampleStream(ObjectStream<ConlluSentence>) - Constructor for class opennlp.tools.formats.conllu.ConlluTokenSampleStream
  Initializes a `ConlluTokenSampleStream`.
ConlluTokenSampleStreamFactory - Class in opennlp.tools.formats.conllu
  Note: Do not use this class, internal use only!
ConlluTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.conllu
ConlluWordLine - Class in opennlp.tools.formats.conllu
CONLLX_FORMAT - Static variable in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
ConllXPOSSampleStream - Class in opennlp.tools.formats
  Parses the data from the CONLL 06 shared task into POS Samples.
ConllXPOSSampleStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
  Initializes a `ConllXPOSSampleStream`.
ConllXPOSSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ConllXPOSSampleStream
  Initializes a `ConllXPOSSampleStream`.
ConllXPOSSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
ConllXPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
ConllXSentenceSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
ConllXSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
ConllXTokenSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
ConllXTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
Cons - Class in opennlp.tools.parser
  Holds feature information about a specific `Parse` node.
Cons(String, String, int, boolean) - Constructor for class opennlp.tools.parser.Cons
ConstitParseSampleStream - Class in opennlp.tools.formats.frenchtreebank
ConstitParseSampleStreamFactory - Class in opennlp.tools.formats.frenchtreebank
  Note: Do not use this class, internal use only!
Constituent - Class in opennlp.tools.parser
  Holds constituents when reading `parses`.
Constituent(String, Span) - Constructor for class opennlp.tools.parser.Constituent
constructModel() - Method in class opennlp.tools.ml.maxent.io.GISModelReader
  Retrieves a model from disk.
constructModel() - Method in class opennlp.tools.ml.maxent.io.QNModelReader
  Retrieves a model from disk.
constructModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Constructs a `model`.
constructModel() - Method in class opennlp.tools.ml.model.GenericModelReader
constructModel() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
  Constructs a `model`.
constructModel() - Method in class opennlp.tools.ml.perceptron.PerceptronModelReader
  Constructs a `model`.
CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Prefix for outcomes continuing a constituent.
contains(int) - Method in class opennlp.tools.ml.model.MutableContext
contains(int) - Method in class opennlp.tools.util.Span
  An index with the value of end is considered outside the `Span`.
contains(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel
  Checks if the given `ngram` is contained in a `NGramCharModel`.
contains(String) - Method in class opennlp.tools.dictionary.Index
  Checks if at least one `StringList` contains the specified `token`.
contains(Span) - Method in class opennlp.tools.util.Span
  Identical `spans` are considered to contain each other.
contains(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Checks if this dictionary has the given entry.
contains(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Checks fit he given tokens are contained by the current instance.
containsComma() - Method in class opennlp.tools.util.featuregen.StringPattern
containsDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
containsHyphen() - Method in class opennlp.tools.util.featuregen.StringPattern
containsLetters() - Method in class opennlp.tools.util.featuregen.StringPattern
containsPeriod() - Method in class opennlp.tools.util.featuregen.StringPattern
containsSlash() - Method in class opennlp.tools.util.featuregen.StringPattern
ContentHandler() - Constructor for class opennlp.tools.formats.muc.SgmlParser.ContentHandler
context() - Method in record class opennlp.tools.langdetect.LanguageSample
  Returns the value of the `context` record component.
Context - Class in opennlp.tools.ml.model
  Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
Context(int[], double[]) - Constructor for class opennlp.tools.ml.model.Context
  Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
ContextGenerator<T> - Interface in opennlp.tools.ml.maxent
  Represents a generator of contexts for maxent decisions.
CONTINUE - Static variable in class opennlp.tools.namefind.BilouCodec
CONTINUE - Static variable in class opennlp.tools.namefind.BioCodec
CONTINUE - Static variable in class opennlp.tools.namefind.NameFinderME
CONVERGE_TOLERANCE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
convertFuncTag(String, boolean) - Static method in class opennlp.tools.formats.ad.ADChunkSampleStream
convertTag(String) - Method in class opennlp.tools.postag.POSTagFormatMapper
  Converts a given tag to the specified format.
convertTag(String) - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp
convertTags(List<String>) - Method in class opennlp.tools.postag.POSTagFormatMapper
  Converts a list of tags to the specified format.
convertTags(List<String>) - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp
correctlyClassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
correctlyClassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
correctlyClassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
correctlyClassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
correctlyClassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
correctlyClassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
count() - Method in class opennlp.tools.util.eval.Mean
create() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
create() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
create(InputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
create(InputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
create(InputStream) - Static method in class opennlp.tools.postag.POSDictionary
  Creates a new `POSDictionary` from an `InputStream`.
create(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
create(InputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
create(InputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
create(InputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
  Creates an artifact from the provided `InputStream`.
create(InputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
create(InputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
create(InputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
create(InputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
create(InputStream, EntryInserter) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
  Creates `Entry`s from the given `InputStream` and forwards these `Entry`s to the `EntryInserter`.
create(InputStream, FeatureGeneratorResourceProvider) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
  Creates an `AdaptiveFeatureGenerator` from an provided XML descriptor.
create(Class<? extends BaseToolFactory>, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
  Instantiates a `BaseToolFactory` via a given `subclassName`.
create(String) - Static method in class opennlp.tools.chunker.ChunkerFactory
  Instantiates a `ChunkerFactory` via a given `subclassName`.
create(String) - Static method in class opennlp.tools.langdetect.LanguageDetectorFactory
  Instantiates a `LanguageDetectorFactory` via a given `subclassName`.
create(String) - Static method in class opennlp.tools.lemmatizer.LemmatizerFactory
  Instantiates a `LemmatizerFactory` via a given `subclassName`.
create(String[]) - Method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ChunkerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.DocumentSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.masc.MascTokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.NameSampleDataStreamFactory
create(String[]) - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.ParseSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.SentenceSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TokenSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
create(String[]) - Method in class opennlp.tools.formats.WordTagSampleStreamFactory
create(String[], String[]) - Static method in record class opennlp.tools.util.TokenTag
create(String, byte[], Map<String, Object>, TagDictionary) - Static method in class opennlp.tools.postag.POSTaggerFactory
  Instantiates a `POSTaggerFactory` via a given `subclassName`.
create(String, byte[], Map<String, Object>, SequenceCodec<String>) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
  Initializes a `TokenNameFinderFactory` instance via given parameters.
create(String, String, boolean, Dictionary, char[]) - Static method in class opennlp.tools.sentdetect.SentenceDetectorFactory
  Instantiates a `SentenceDetectorFactory` via a given `subclassName`.
create(String, String, Dictionary, boolean, Pattern) - Static method in class opennlp.tools.tokenize.TokenizerFactory
  Factory method the framework uses instantiate a new `TokenizerFactory`.
create(String, FeatureGenerator[]) - Static method in class opennlp.tools.doccat.DoccatFactory
  Factory method the framework uses create a new `DoccatFactory`.
create(String, ArtifactProvider) - Static method in class opennlp.tools.util.BaseToolFactory
  Instantiates a `BaseToolFactory` via a given `subclassName`.
create(ParserModel) - Static method in class opennlp.tools.parser.ParserFactory
  Instantiates a `Parser` via a given `model` and default configuration parameters (see: `AbstractBottomUpParser`).
create(ParserModel, int, double) - Static method in class opennlp.tools.parser.ParserFactory
  Instantiates a `Parser` via a given `model` and other configuration parameters.
createArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
createArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory
  A model's implementation should call this constructor that creates a model programmatically.
createArtifactSerializers() - Static method in class opennlp.tools.namefind.TokenNameFinderModel
  Create the `serializers`.
createArtifactSerializersMap() - Method in class opennlp.tools.postag.POSTaggerFactory
createArtifactSerializersMap() - Method in class opennlp.tools.util.BaseToolFactory
  Creates a `Map` with pairs of keys and `ArtifactSerializer`.
createContextGenerator() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
  Creates and configures a new `NameContextGenerator` in a default combination.
createDefaultTrainingParameters() - Static method in class opennlp.tools.util.model.ModelUtil
  Creates the default `TrainingParameters` in case they are not provided.
createDictionary(ObjectStream<StringList>) - Static method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
  Creates a dictionary.
createDocumentBuilder() - Static method in class opennlp.tools.util.XmlUtil
  Create a new `DocumentBuilder` which processes XML securely.
createEmptyTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
createEndOfSentenceScanner(char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createEndOfSentenceScanner(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createFeatureGenerators() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
  Creates the `AdaptiveFeatureGenerator`.
createFeatureGenerators() - Method in class opennlp.tools.postag.POSTaggerFactory
  Creates the `AdaptiveFeatureGenerator`.
createFeatures(List<String>, String[], int, String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
  Adds the appropriate features for the token at the specified `index` with the specified array of `previousOutcomes` to the specified list of features.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Calls the `AdaptiveFeatureGenerator.createFeatures(List, String[], int, String[])` method on all aggregated `feature generators`.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownBigramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.InSpanGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PrefixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
  Generates previous decision features for the token based on contents of the previous map.
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SentenceFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.SuffixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGenerator
createInputStream() - Method in interface opennlp.tools.util.InputStreamFactory
createInputStream() - Method in class opennlp.tools.util.MarkableFileInputStreamFactory
createManifestEntries() - Method in class opennlp.tools.doccat.DoccatFactory
createManifestEntries() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createManifestEntries() - Method in class opennlp.tools.tokenize.TokenizerFactory
createManifestEntries() - Method in class opennlp.tools.util.BaseToolFactory
createObjectStream(Collection<T>) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates an `ObjectStream` form a `Collection<T>`.
createObjectStream(T...) - Static method in class opennlp.tools.util.ObjectStreamUtils
  Creates an `ObjectStream` form an array of `ObjectStreamUtils`.
createSaxParser() - Static method in class opennlp.tools.util.XmlUtil
  Create a new `SAXParser` which processes XML securely.
createSentenceContextGenerator(String) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(String, Set<String>) - Method in class opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(Set<String>, char[]) - Method in class opennlp.tools.sentdetect.lang.Factory
createSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
createSequenceValidator() - Method in class opennlp.tools.namefind.BilouCodec
createSequenceValidator() - Method in class opennlp.tools.namefind.BioCodec
createSequenceValidator() - Method in interface opennlp.tools.util.SequenceCodec
createTagDictionary(File) - Method in class opennlp.tools.postag.POSTaggerFactory
  Initializes a `TagDictionary` from a `dictionary file`.
createTagDictionary(InputStream) - Method in class opennlp.tools.postag.POSTaggerFactory
  Initializes a `TagDictionary` from a `dictionary stream`.
createTokenContextGenerator(String, Set<String>) - Method in class opennlp.tools.tokenize.lang.Factory
  Initializes a customized `TokenContextGenerator` via a set of `abbreviations`.
crosses(Span) - Method in class opennlp.tools.util.Span
  Checks if the specified `Span` crosses this span.
CrossValidationPartitioner<E> - Class in opennlp.tools.util.eval
  Provides access to training and test partitions for n-fold cross validation.
CrossValidationPartitioner(Collection<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner
  Initializes `CrossValidationPartitioner` instance.
CrossValidationPartitioner(ObjectStream<E>, int) - Constructor for class opennlp.tools.util.eval.CrossValidationPartitioner
  Initializes `CrossValidationPartitioner` instance.
CrossValidationPartitioner.TrainingSampleStream<E> - Class in opennlp.tools.util.eval
  The `CrossValidationPartitioner.TrainingSampleStream` which iterates over all training elements.
currentVersion() - Static method in class opennlp.tools.util.Version
CUSTOM - Enum constant in enum class opennlp.tools.postag.POSTagFormat
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramCharModel
  Deletes all ngram which do appear less than the `cutoffUnder` value and more often than the `cutoffOver` value.
cutoff(int, int) - Method in class opennlp.tools.ngram.NGramModel
  Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
CUTOFF_DEFAULT_VALUE - Static variable in class opennlp.tools.util.TrainingParameters
  The default cut off value is 5.
CUTOFF_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
CVParams - Interface in opennlp.tools.cmdline.params
  Common cross validator parameters.

## D

DANISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
danishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
danishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.danishStemmer
DATA_INDEXER_ONE_PASS_REAL_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_ONE_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_PARAM - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_TWO_PASS_VALUE - Static variable in class opennlp.tools.ml.AbstractEventTrainer
DataIndexer - Interface in opennlp.tools.ml.model
  Represents an indexer which compresses events in memory and performs feature selection.
DataIndexerFactory - Class in opennlp.tools.ml.model
  A factory that produces `DataIndexer` instances.
DataIndexerFactory() - Constructor for class opennlp.tools.ml.model.DataIndexerFactory
DataReader - Interface in opennlp.tools.ml.model
  Describes generic ways to read data from a `DataInputStream`.
DataStream - Interface in opennlp.tools.ml.maxent
  An interface for objects which can deliver a stream of training data to be supplied to an EventStream.
DE - Enum constant in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
decode(List<String>) - Method in class opennlp.tools.namefind.BilouCodec
decode(List<String>) - Method in class opennlp.tools.namefind.BioCodec
decode(List<T>) - Method in interface opennlp.tools.util.SequenceCodec
  Decodes a sequence of `objects` into `Span` objects.
decodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
  Decodes the lemma from the word and the induced lemma class.
decodeShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil
  Reads the predicted Shortest Edit Script (SES) by a lemmatizer model and applies the permutations to obtain the lemma from the `wordForm`.
DEFAULT_ALPHANUMERIC - Static variable in class opennlp.tools.tokenize.lang.Factory
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.chunker.ChunkerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.namefind.NameFinderME
DEFAULT_BEAM_SIZE - Static variable in class opennlp.tools.postag.POSTaggerME
  The default beam size value is 3.
DEFAULT_CHUNK_SIZE - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_LANGUAGE_DETECTOR_CONFIG - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MAX_LENGTH - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_CONSEC_IMPROVEMENTS - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_DIFF - Static variable in class opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_PREFIX - Static variable in interface opennlp.tools.util.SequenceCodec
DEFAULT_SEPARATOR_CHARS - Static variable in class opennlp.tools.tokenize.TokenSample
DEFAULT_TYPE - Static variable in class opennlp.tools.namefind.NameSample
  The default type value when there is no type in training data.
defaultAdvancePercentage - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The default amount of probability mass required of advanced outcomes.
defaultBeamSize - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The default beam size used if no beam size is given.
DefaultChunkerContextGenerator - Class in opennlp.tools.chunker
  Features based on chunking model described in Fei Sha and Fernando Pereira.
DefaultChunkerContextGenerator() - Constructor for class opennlp.tools.chunker.DefaultChunkerContextGenerator
  Initializes a `DefaultChunkerContextGenerator` instance.
DefaultChunkerSequenceValidator - Class in opennlp.tools.chunker
  The default chunker `SequenceValidator` implementation.
DefaultChunkerSequenceValidator() - Constructor for class opennlp.tools.chunker.DefaultChunkerSequenceValidator
DefaultEndOfSentenceScanner - Class in opennlp.tools.sentdetect
  Default implementation of the `EndOfSentenceScanner`.
DefaultEndOfSentenceScanner(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
  Initializes the current instance.
defaultEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
DefaultLanguageDetectorContextGenerator - Class in opennlp.tools.langdetect
  A context generator for `language detector`.
DefaultLanguageDetectorContextGenerator(int, int, CharSequenceNormalizer...) - Constructor for class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
  Creates a customizable `DefaultLanguageDetectorContextGenerator` that computes ngrams from text.
DefaultLemmatizerContextGenerator - Class in opennlp.tools.lemmatizer
  Simple feature generator for learning statistical lemmatizers.
DefaultLemmatizerContextGenerator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
DefaultLemmatizerSequenceValidator - Class in opennlp.tools.lemmatizer
  The default lemmatizer `SequenceValidator` implementation.
DefaultLemmatizerSequenceValidator() - Constructor for class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
DefaultNameContextGenerator - Class in opennlp.tools.namefind
  A `NameContextGenerator` implementation for determining contextual features for a `tag-chunk` style named-entity recognizer.
DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.namefind.DefaultNameContextGenerator
  Creates a name context generator with the specified `feature generators`.
defaultParams() - Static method in class opennlp.tools.util.TrainingParameters
DefaultPOSContextGenerator - Class in opennlp.tools.postag
  A default `context generator` for a `POSTagger`.
DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
  Initializes a `DefaultPOSContextGenerator` instance.
DefaultPOSContextGenerator(Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
  Initializes a `DefaultPOSContextGenerator` instance.
DefaultPOSSequenceValidator - Class in opennlp.tools.postag
  The default POS tagger `SequenceValidator` implementation.
DefaultPOSSequenceValidator(TagDictionary) - Constructor for class opennlp.tools.postag.DefaultPOSSequenceValidator
DefaultSDContextGenerator - Class in opennlp.tools.sentdetect
  Generate event contexts for maxent decisions for sentence detection.
DefaultSDContextGenerator(char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator
  Creates a new instance with no induced abbreviations.
DefaultSDContextGenerator(Set<String>, char[]) - Constructor for class opennlp.tools.sentdetect.DefaultSDContextGenerator
  Creates a new `SDContextGenerator` instance which uses the set of induced abbreviations.
DefaultTokenContextGenerator - Class in opennlp.tools.tokenize
  A default `TokenContextGenerator` which produces events for maxent decisions for tokenization.
DefaultTokenContextGenerator() - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator
  Initializes a plain `DefaultTokenContextGenerator` instance.
DefaultTokenContextGenerator(Set<String>) - Constructor for class opennlp.tools.tokenize.DefaultTokenContextGenerator
  Initializes a customized `DefaultTokenContextGenerator` instance via a set of `inducedAbbreviations`.
DefaultTrainingProgressMonitor - Class in opennlp.tools.monitoring
  The default implementation of `TrainingProgressMonitor`.
DefaultTrainingProgressMonitor() - Constructor for class opennlp.tools.monitoring.DefaultTrainingProgressMonitor
DefinitionFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `OutcomePriorFeatureGenerator` instances when `DefinitionFeatureGeneratorFactory.create()` is called.
DefinitionFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
DEGREES_MIN_SEC_LAT_LON - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
DetokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer
  A default implementation of `EvaluationMonitor` that prints to an output stream.
DetokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
DetokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`.
DetokenizationDictionary - Class in opennlp.tools.tokenize
DetokenizationDictionary(File) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
  Initializes a `DetokenizationDictionary` instance via a valid `File`.
DetokenizationDictionary(InputStream) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
  Initializes a `DetokenizationDictionary` instance via a valid `InputStream`.
DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
  Initializes a `DetokenizationDictionary` instance.
DetokenizationDictionary(Path) - Constructor for class opennlp.tools.tokenize.DetokenizationDictionary
  Initializes a `DetokenizationDictionary` instance via a valid `Path`.
DetokenizationDictionary.Operation - Enum Class in opennlp.tools.tokenize
detokenize(String[]) - Method in interface opennlp.tools.tokenize.Detokenizer
  Detokenizes the collection of tokens.
detokenize(String[]) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
detokenize(String[], String) - Method in interface opennlp.tools.tokenize.Detokenizer
  Detokenizes the input `tokens` into a String.
detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
Detokenizer - Interface in opennlp.tools.tokenize
  A `Detokenizer` merges tokens back to their detokenized representation.
Detokenizer.DetokenizationOperation - Enum Class in opennlp.tools.tokenize
  This enum contains an operation for every token to merge the tokens together to their detokenized form.
DetokenizerEvaluator - Class in opennlp.tools.tokenize
  The `DetokenizerEvaluator` measures the performance of the given `Detokenizer` with the provided reference `samples`.
DetokenizerEvaluator(Detokenizer, DetokenEvaluationErrorListener...) - Constructor for class opennlp.tools.tokenize.DetokenizerEvaluator
  Initializes the current instance with the given `Detokenizer`.
DetokenizerParameter - Interface in opennlp.tools.cmdline.params
DetokenizerSampleStreamFactory<T,P> - Class in opennlp.tools.formats
  Base class for factories which need a `Detokenizer`.
DetokenizeSentenceSampleStream - Class in opennlp.tools.formats.letsmt
DetokenizeSentenceSampleStream(Detokenizer, ObjectStream<SentenceSample>) - Constructor for class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
  Initializes a `DetokenizeSentenceSampleStream`.
DEV_VERSION - Static variable in class opennlp.tools.util.Version
Dictionary - Class in opennlp.tools.dictionary
  An iterable and serializable dictionary implementation.
Dictionary() - Constructor for class opennlp.tools.dictionary.Dictionary
  Initializes an empty `Dictionary`.
Dictionary(boolean) - Constructor for class opennlp.tools.dictionary.Dictionary
  Initializes an empty `Dictionary`.
Dictionary(InputStream) - Constructor for class opennlp.tools.dictionary.Dictionary
  Initializes the `Dictionary` from an existing dictionary resource.
DictionaryBuilderTool - Class in opennlp.tools.cmdline.dictionary
DictionaryBuilderTool() - Constructor for class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
DictionaryDetokenizer - Class in opennlp.tools.tokenize
  A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer
  Initializes a `DictionaryDetokenizer` instance.
DictionaryDetokenizerTool - Class in opennlp.tools.cmdline.tokenizer
DictionaryDetokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
DictionaryEntryPersistor - Class in opennlp.tools.dictionary.serializer
  A persistor used by for reading and writing `dictionaries` of all kinds.
DictionaryEntryPersistor() - Constructor for class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
DictionaryFeatureGenerator - Class in opennlp.tools.util.featuregen
  The `DictionaryFeatureGenerator` uses a `DictionaryNameFinder` to generate features for detected names based on the `InSpanGenerator`.
DictionaryFeatureGenerator(String, Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
  Initializes a `DictionaryFeatureGenerator` with the specified parameters.
DictionaryFeatureGenerator(Dictionary) - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
  Initializes a `DictionaryFeatureGenerator` with the specified `Dictionary`.
DictionaryFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `DictionaryFeatureGenerator` instances when `DictionaryFeatureGeneratorFactory.create()` is called.
DictionaryFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
DictionaryLemmatizer - Class in opennlp.tools.lemmatizer
  A `Lemmatizer` implementation that works by simple dictionary lookup into a `Map` built from a file containing, for each line:
DictionaryLemmatizer(File) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Initializes a `DictionaryLemmatizer` and related `HashMap` from the input tab separated dictionary.
DictionaryLemmatizer(File, Charset) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Initializes a `DictionaryLemmatizer` and related `HashMap` from the input tab separated dictionary.
DictionaryLemmatizer(InputStream) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Initializes a `DictionaryLemmatizer` and related `HashMap` from the input tab separated dictionary.
DictionaryLemmatizer(InputStream, Charset) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Initializes a `DictionaryLemmatizer` and related `HashMap` from the input tab separated dictionary.
DictionaryLemmatizer(Path) - Constructor for class opennlp.tools.lemmatizer.DictionaryLemmatizer
  Initializes a `DictionaryLemmatizer` and related `HashMap` from the input tab separated dictionary.
DictionaryNameFinder - Class in opennlp.tools.namefind
  This is a `Dictionary` based `name finder`.
DictionaryNameFinder(Dictionary) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder
  Initializes a `DictionaryNameFinder` with the provided `Dictionary` and `DictionaryNameFinder.DEFAULT_TYPE`.
DictionaryNameFinder(Dictionary, String) - Constructor for class opennlp.tools.namefind.DictionaryNameFinder
  Initializes a `DictionaryNameFinder` with the provided `Dictionary` and a `type`.
DictionarySerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `dictionaries`.
DictionarySerializer() - Constructor for class opennlp.tools.util.model.DictionarySerializer
digits() - Method in class opennlp.tools.util.featuregen.StringPattern
  Retrieves the number of digits.
dimension() - Method in interface opennlp.tools.util.wordvector.WordVector
dimension() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
DirectorySampleStream - Class in opennlp.tools.formats
  The directory sample stream allows for creating an `ObjectStream<File>` from a directory listing of files.
DirectorySampleStream(File[], FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream
  Initializes a `DirectorySampleStream`.
DirectorySampleStream(File, FileFilter, boolean) - Constructor for class opennlp.tools.formats.DirectorySampleStream
  Initializes a `DirectorySampleStream`.
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
discardCountsBelow(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
display(boolean) - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor
  Displays the training progress and optionally clears the recorded progress (to save memory).
display(boolean) - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor
  Displays the training progress and optionally clears the recorded progress (to save memory).
DoccatConverterTool - Class in opennlp.tools.cmdline.doccat
  Tool to convert multiple data formats into native OpenNLP doccat training format.
DoccatConverterTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatConverterTool
DoccatCrossValidator - Class in opennlp.tools.doccat
  Cross validator for `DocumentCategorizer`.
DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DoccatCrossValidator
  Instantiates a `DoccatCrossValidator` with the given `generators`.
DoccatCrossValidatorTool - Class in opennlp.tools.cmdline.doccat
DoccatCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
DoccatEvaluationErrorListener - Class in opennlp.tools.cmdline.doccat
  A default implementation of `EvaluationMonitor` that prints to an output stream.
DoccatEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
DoccatEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
DoccatEvaluationMonitor - Interface in opennlp.tools.doccat
  A marker interface for evaluating `doccat`.
DoccatEvaluatorTool - Class in opennlp.tools.cmdline.doccat
  A default `DocumentSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
DoccatEvaluatorTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
DoccatFactory - Class in opennlp.tools.doccat
  The factory that provides Doccat default implementations and resources.
DoccatFactory() - Constructor for class opennlp.tools.doccat.DoccatFactory
  Instantiates a `DoccatFactory` that provides the default implementation of the resources.
DoccatFactory(FeatureGenerator[]) - Constructor for class opennlp.tools.doccat.DoccatFactory
  Instantiates a `DoccatFactory` that provides the default implementation of the resources.
DoccatFineGrainedReportListener - Class in opennlp.tools.cmdline.doccat
  Generates a detailed report for the POS Tagger.
DoccatFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
  Creates a listener that will print to the configured `logger`.
DoccatFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
DoccatModel - Class in opennlp.tools.doccat
  A model for document categorization
DoccatModel(File) - Constructor for class opennlp.tools.doccat.DoccatModel
  Initializes a `DoccatModel` instance via a valid `File`.
DoccatModel(InputStream) - Constructor for class opennlp.tools.doccat.DoccatModel
  Initializes a `DoccatModel` instance via a valid `InputStream`.
DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Constructor for class opennlp.tools.doccat.DoccatModel
  Initializes a `DoccatModel` instance via given parameters.
DoccatModel(URL) - Constructor for class opennlp.tools.doccat.DoccatModel
  Initializes a `DoccatModel` instance via a valid `URL`.
DoccatModel(Path) - Constructor for class opennlp.tools.doccat.DoccatModel
  Initializes a `DoccatModel` instance via a valid `Path`.
DoccatModelLoader - Class in opennlp.tools.cmdline.doccat
  Loads a `DoccatModel` for the command line tools.
DoccatModelLoader() - Constructor for class opennlp.tools.cmdline.doccat.DoccatModelLoader
DoccatTool - Class in opennlp.tools.cmdline.doccat
DoccatTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTool
DoccatTrainerTool - Class in opennlp.tools.cmdline.doccat
DoccatTrainerTool() - Constructor for class opennlp.tools.cmdline.doccat.DoccatTrainerTool
doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch
  Conducts a constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al. 2007)
DOCSTART - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
DOCSTART - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
DocumentBeginFeatureGenerator - Class in opennlp.tools.util.featuregen
  This feature generator creates document begin features.
DocumentBeginFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
DocumentBeginFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `DocumentBeginFeatureGenerator` instances when `DocumentBeginFeatureGeneratorFactory.create()` is called.
DocumentBeginFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
DocumentCategorizer - Interface in opennlp.tools.doccat
  Interface for classes which categorize documents.
DocumentCategorizerEvaluator - Class in opennlp.tools.doccat
  The `DocumentCategorizerEvaluator` measures the performance of the given `DocumentCategorizer` with the provided reference `samples`.
DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Initializes a `DocumentCategorizerEvaluator` instance.
DocumentCategorizerEventStream - Class in opennlp.tools.doccat
  Iterator-like class for modeling document classification events.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream
  Initializes a `DocumentCategorizerEventStream` via samples.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Constructor for class opennlp.tools.doccat.DocumentCategorizerEventStream
  Initializes a `DocumentCategorizerEventStream` via samples and `feature generators`.
DocumentCategorizerME - Class in opennlp.tools.doccat
  A Max-Ent based implementation of `DocumentCategorizer`.
DocumentCategorizerME(DoccatModel) - Constructor for class opennlp.tools.doccat.DocumentCategorizerME
  Initializes a `DocumentCategorizerME` instance with a doccat model.
DocumentNameFinder - Interface in opennlp.tools.namefind
  Interface for processing an entire document allowing a `TokenNameFinder` to use context from the entire document.
DocumentSample - Class in opennlp.tools.doccat
  Class which holds a classified document and its category.
DocumentSample(String, String[]) - Constructor for class opennlp.tools.doccat.DocumentSample
  Initializes a `instance`.
DocumentSample(String, String[], Map<String, Object>) - Constructor for class opennlp.tools.doccat.DocumentSample
  Initializes a `instance`.
DocumentSampleStream - Class in opennlp.tools.doccat
  Reads in string encoded training samples, parses them and outputs `DocumentSample` objects.
DocumentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.doccat.DocumentSampleStream
  Initializes a `instance`.
DocumentSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `DocumentSampleStream`s.
DocumentSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
DocumentToLineStream - Class in opennlp.tools.formats.ontonotes
  Reads a plain text file and return each line as a `String` object.
DocumentToLineStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.DocumentToLineStream
  Initializes a `DocumentToLineStream`.
doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch
  Conducts a backtracking line search.
DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a constituent needs an no additional parent node/building.
doTrain(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
doTrain(DataIndexer) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
doTrain(SequenceStream<Event>) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
DOUBLE - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType
downloadModel(String, ModelType, Class<T>) - Static method in class opennlp.tools.util.DownloadUtil
  Triggers a download for the specified `ModelType`.
downloadModel(URL, Class<T>) - Static method in class opennlp.tools.util.DownloadUtil
  Downloads a model from a `URL`.
DownloadUtil - Class in opennlp.tools.util
  This class facilitates the downloading of pretrained OpenNLP models.
DownloadUtil() - Constructor for class opennlp.tools.util.DownloadUtil
dropOverlappingSpans(Span[]) - Static method in class opennlp.tools.namefind.NameFinderME
  Removes `spans` with are intersecting or crossing in any way.
DUTCH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
dutchStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
dutchStemmer() - Constructor for class opennlp.tools.stemmer.snowball.dutchStemmer
DynamicEvalParameters - Class in opennlp.tools.ml.model
DynamicEvalParameters(List<? extends Context>, int) - Constructor for class opennlp.tools.ml.model.DynamicEvalParameters
  Creates a set of parameters which can be evaluated with the eval method.

## E

EMAIL - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
EmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  A `EmojiCharSequenceNormalizer` implementation that normalizes text in terms of emojis.
EmojiCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
EmptyLinePreprocessorStream - Class in opennlp.tools.sentdetect
  `ObjectStream` to clean up empty lines for empty line separated document streams.
  - Skips empty line at training data start
  - Transforms multiple empty lines in a row into one
  - Replaces white space lines with empty lines
  - TODO: Terminates last document with empty line if it is missing
  This stream should be used by the components that mark empty lines to mark document boundaries.
EmptyLinePreprocessorStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
EN - Enum constant in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec
encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec
encode(Span[], int) - Method in interface opennlp.tools.util.SequenceCodec
  Encodes `Span` objects into a sequence of `objects`.
encodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
  Encodes the word given its lemmas.
EncodingParameter - Interface in opennlp.tools.cmdline.params
  Encoding parameter.
END_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
endElement(String) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
endElement(String) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
  Handles a SGML end element.
endElement(String, String, String) - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
endElement(String, String, String) - Method in class opennlp.tools.formats.masc.MascPennTagParser
EndOfSentenceScanner - Interface in opennlp.tools.sentdetect
  Scans `CharSequence`, `StringBuffer`, and `char[]` for the offsets of sentence ending characters.
ENGLISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
englishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
englishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.englishStemmer
ENTITY_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EntityLinker<T extends Span> - Interface in opennlp.tools.entitylinker
  EntityLinkers establish connections with external data to enrich extracted entities.
EntityLinkerFactory - Class in opennlp.tools.entitylinker
  Generates a `EntityLinker` instances via a `properties` file configuration.
EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory
EntityLinkerProperties - Class in opennlp.tools.entitylinker
  Properties wrapper for `EntityLinker` implementations.
EntityLinkerProperties(File) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties
  Initializes `EntityLinkerProperties` via a `File` reference.
EntityLinkerProperties(InputStream) - Constructor for class opennlp.tools.entitylinker.EntityLinkerProperties
  Initializes `EntityLinkerProperties` via a `InputStream` reference.
EntityLinkerTool - Class in opennlp.tools.cmdline.entitylinker
EntityLinkerTool() - Constructor for class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
Entry - Record Class in opennlp.tools.dictionary.serializer
  An `Entry` is a `StringList` which can optionally be mapped to attributes.
Entry(StringList, Attributes) - Constructor for record class opennlp.tools.dictionary.serializer.Entry
  Creates an instance of a `Entry` record class.
EntryInserter - Interface in opennlp.tools.dictionary.serializer
eosCharacters - Static variable in class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
equals(Object) - Method in class opennlp.tools.chunker.ChunkSample
equals(Object) - Method in class opennlp.tools.dictionary.Dictionary
equals(Object) - Method in record class opennlp.tools.dictionary.serializer.Entry
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.doccat.DocumentSample
equals(Object) - Method in class opennlp.tools.entitylinker.BaseLink
equals(Object) - Method in class opennlp.tools.entitylinker.LinkedSpan
equals(Object) - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.langdetect.Language
equals(Object) - Method in record class opennlp.tools.langdetect.LanguageSample
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.lemmatizer.LemmaSample
equals(Object) - Method in class opennlp.tools.ml.maxent.GISModel
equals(Object) - Method in class opennlp.tools.ml.model.AbstractModel
equals(Object) - Method in class opennlp.tools.ml.model.ComparableEvent
equals(Object) - Method in class opennlp.tools.ml.model.ComparablePredicate
equals(Object) - Method in class opennlp.tools.ml.model.Context
equals(Object) - Method in class opennlp.tools.ml.model.EvalParameters
equals(Object) - Method in class opennlp.tools.ml.model.UniformPrior
equals(Object) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
equals(Object) - Method in class opennlp.tools.namefind.NameSample
equals(Object) - Method in class opennlp.tools.ngram.NGramCharModel
equals(Object) - Method in class opennlp.tools.ngram.NGramModel
equals(Object) - Method in class opennlp.tools.parser.lang.en.HeadRules
equals(Object) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
equals(Object) - Method in class opennlp.tools.parser.Parse
equals(Object) - Method in class opennlp.tools.parser.ParserModel
equals(Object) - Method in class opennlp.tools.postag.POSDictionary
equals(Object) - Method in class opennlp.tools.postag.POSModel
equals(Object) - Method in class opennlp.tools.postag.POSSample
equals(Object) - Method in class opennlp.tools.sentdetect.SentenceSample
equals(Object) - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.danishStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.dutchStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.englishStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.finnishStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.frenchStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.germanStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.greekStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.irishStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.italianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.porterStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.romanianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.russianStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.spanishStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.swedishStemmer
equals(Object) - Method in class opennlp.tools.stemmer.snowball.turkishStemmer
equals(Object) - Method in class opennlp.tools.tokenize.TokenizerModel
equals(Object) - Method in class opennlp.tools.tokenize.TokenSample
equals(Object) - Method in class opennlp.tools.util.Sequence
equals(Object) - Method in class opennlp.tools.util.Span
equals(Object) - Method in class opennlp.tools.util.StringList
equals(Object) - Method in record class opennlp.tools.util.TokenTag
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.util.TrainingConfiguration
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.util.Version
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.maxent.GISModel
  Evaluates a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
  Evaluates a `NaiveBayesModel`.
eval(int[], double[], EvalParameters) - Static method in class opennlp.tools.ml.perceptron.PerceptronModel
  Evaluates a `PerceptronModel`.
eval(String[]) - Method in class opennlp.tools.ml.maxent.GISModel
  Evaluates a context and return an array of the likelihood of each outcome given that context.
eval(String[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
  Evaluates a `context`.
eval(String[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Evaluates a `context`.
eval(String[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
  Evaluates a `context`.
eval(String[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
  Evaluates a `context`.
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel
  Evaluates a `context`.
eval(String[], double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
  Evaluates a `context`.
eval(String[], double[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Evaluates a `context`.
eval(String[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
  Evaluates a `context`.
eval(String[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
  Evaluates a `context`.
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.GISModel
  Evaluates a `context` with the specified context `values`.
eval(String[], float[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
  Evaluates a `context` with the specified context `values`.
eval(String[], float[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Evaluates a `context` with the specified context `values`.
eval(String[], float[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
  Evaluates a `context` with the specified context `values`.
eval(String[], float[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
  Evaluates a `context` with the specified context `values`.
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.maxent.GISModel
  Evaluates a context and return an array of the likelihood of each outcome given that context.
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[], double[]) - Method in class opennlp.tools.ml.perceptron.PerceptronModel
EvalitaNameSampleStream - Class in opennlp.tools.formats
  Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, InputStreamFactory, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, ObjectStream<String>, int) - Constructor for class opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream.LANGUAGE - Enum Class in opennlp.tools.formats
EvalitaNameSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
EvalitaNameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
EvalParameters - Class in opennlp.tools.ml.model
  This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.
EvalParameters(Context[], int) - Constructor for class opennlp.tools.ml.model.EvalParameters
evaluate(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator
  Measure quality of the training parameters.
evaluate(ObjectStream<ChunkSample>, int) - Method in class opennlp.tools.chunker.ChunkerCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<DocumentSample>, int) - Method in class opennlp.tools.doccat.DoccatCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<LanguageSample>, int) - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<NameSample>, int) - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<Parse>, int) - Method in class opennlp.tools.parser.ParserCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<POSSample>, int) - Method in class opennlp.tools.postag.POSTaggerCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<SentenceSample>, int) - Method in class opennlp.tools.sentdetect.SDCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<TokenSample>, int) - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
  Starts the evaluation.
evaluate(ObjectStream<T>) - Method in class opennlp.tools.util.eval.Evaluator
  Reads all `sample objects` and evaluates each instance via the `Evaluator.evaluateSample(Object)` method.
evaluateSample(T) - Method in class opennlp.tools.util.eval.Evaluator
  Evaluates the given reference object.
EvaluationMonitor<T> - Interface in opennlp.tools.util.eval
Evaluator<T> - Class in opennlp.tools.util.eval
  An abstract base class for evaluators.
Evaluator(EvaluationMonitor<T>...) - Constructor for class opennlp.tools.util.eval.Evaluator
EvaluatorParams - Interface in opennlp.tools.cmdline.params
  Common evaluation parameters.
Event - Class in opennlp.tools.ml.model
  The context of a decision point during training.
Event(String, CharSequence[]) - Constructor for class opennlp.tools.ml.model.Event
  Instantiates an `Event`.
Event(String, CharSequence[], float[]) - Constructor for class opennlp.tools.ml.model.Event
  Instantiates an `Event`.
Event(String, String[], float[]) - Constructor for class opennlp.tools.ml.model.Event
  Instantiates an `Event`.
EVENT_MODEL_SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType
EVENT_MODEL_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType
EVENT_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
EVENT_VALUE - Static variable in interface opennlp.tools.ml.EventTrainer
EventAnnotation - Class in opennlp.tools.formats.brat
EventModelSequenceTrainer<T> - Interface in opennlp.tools.ml
  A specialized `Trainer` that is based on a 'EventModelSequence' approach.
EventTraceStream - Class in opennlp.tools.util
EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream
  Initializes an `EventTraceStream`.
EventTrainer - Interface in opennlp.tools.ml
  A specialized `Trainer` that is based on an `Event` approach.
expandTopNode(Parse) - Method in class opennlp.tools.parser.Parse
Experimental - Annotation Interface in opennlp.tools.util.java
  Indicates that a certain API feature is not stable and might change with a new release.
ExtensionLoader - Class in opennlp.tools.util.ext
  The `ExtensionLoader` is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Exception in opennlp.tools.util.ext
  Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionNotLoadedException(Throwable) - Constructor for exception opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionServiceKeys - Class in opennlp.tools.util.ext
ExtensionServiceKeys() - Constructor for class opennlp.tools.util.ext.ExtensionServiceKeys
extractArtifactSerializerMappings(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.BagOfWordsFeatureGenerator
extractFeatures(String[], Map<String, Object>) - Method in interface opennlp.tools.doccat.FeatureGenerator
  Extracts features from given `text` fragments.
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.NGramFeatureGenerator
extractTags(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag
extractTokens(TokenTag[]) - Static method in record class opennlp.tools.util.TokenTag

## F

Factory - Class in opennlp.tools.sentdetect.lang
Factory - Class in opennlp.tools.tokenize.lang
Factory() - Constructor for class opennlp.tools.sentdetect.lang.Factory
Factory() - Constructor for class opennlp.tools.tokenize.lang.Factory
FeatureGenerator - Interface in opennlp.tools.doccat
  Interface for generating features for document categorization.
FeatureGeneratorResourceProvider - Interface in opennlp.tools.util.featuregen
  The `FeatureGeneratorResourceProvider` provides access to the resources available in the model.
FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen
  This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil
FileEventStream - Class in opennlp.tools.ml.model
  Class for using a file of `events` as an `event stream`.
FileEventStream(File) - Constructor for class opennlp.tools.ml.model.FileEventStream
  Instantiates a `FileEventStream` via a `File`.
FileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.FileEventStream
  Instantiates a `FileEventStream` via a `Reader`.
FileEventStream(String) - Constructor for class opennlp.tools.ml.model.FileEventStream
  Instantiates a `FileEventStream` from the specified file name.
FileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.FileEventStream
  Instantiates a `FileEventStream` from the specified file name.
FileToByteArraySampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
FileToByteArraySampleStream(ObjectStream<File>) - Constructor for class opennlp.tools.formats.convert.FileToByteArraySampleStream
  Initializes a `FileToByteArraySampleStream`.
FileToStringSampleStream - Class in opennlp.tools.formats.convert
  Provides the ability to read the contents of files contained in an object stream of files.
FileToStringSampleStream(ObjectStream<File>, Charset) - Constructor for class opennlp.tools.formats.convert.FileToStringSampleStream
  Initializes a `FileToStringSampleStream`.
FilterObjectStream<S,T> - Class in opennlp.tools.util
  Abstract base class for filtering `streams`.
find(String) - Method in class opennlp.tools.namefind.RegexNameFinder
  Finds `spans` with character indices, rather than word.
find(String[]) - Method in class opennlp.tools.namefind.DictionaryNameFinder
find(String[]) - Method in class opennlp.tools.namefind.NameFinderME
find(String[]) - Method in class opennlp.tools.namefind.RegexNameFinder
find(String[]) - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
find(String[]) - Method in interface opennlp.tools.namefind.TokenNameFinder
  Generates name tags for the given sequence, typically a sentence, returning `token spans` for any identified names.
find(String[][]) - Method in interface opennlp.tools.namefind.DocumentNameFinder
  Finds tokens `spans` for the specified document of sentences and their tokens.
find(String[], String[][]) - Method in class opennlp.tools.namefind.NameFinderME
  Generates name tags for the given sequence, typically a sentence, returning `token spans` for any identified names.
find(String, Span[], Span[][], Span[][]) - Method in interface opennlp.tools.entitylinker.EntityLinker
  Links an entire document of named entities to an external source.
find(String, Span[], Span[][], Span[][], int) - Method in interface opennlp.tools.entitylinker.EntityLinker
  Links the names that correspond to the tokens[] spans.
FineGrainedEvaluatorParams - Interface in opennlp.tools.cmdline.params
  Common evaluation parameters.
FINISHED - Static variable in interface opennlp.tools.monitoring.StopCriteria
finishedIteration(int, int, int, TrainingMeasure, double) - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor
  Captures the Iteration progress.
finishedIteration(int, int, int, TrainingMeasure, double) - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor
  Captures the Iteration progress.
finishedTraining(int, StopCriteria<?>) - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor
  Captures the training completion progress.
finishedTraining(int, StopCriteria<?>) - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor
  Captures the training completion progress.
FINNISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
finnishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
finnishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.finnishStemmer
fixPossesives(Parse) - Static method in class opennlp.tools.parser.Parse
FLOAT - Enum constant in enum class opennlp.tools.util.wordvector.WordVectorType
FMeasure - Class in opennlp.tools.util.eval
  The `FMeasure` is a utility class for `evaluators` which measures precision, recall and the resulting f-measure.
FMeasure() - Constructor for class opennlp.tools.util.eval.FMeasure
FRENCH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
frenchStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
frenchStemmer() - Constructor for class opennlp.tools.stemmer.snowball.frenchStemmer
Function - Interface in opennlp.tools.ml.maxent.quasinewton
  Interface for a function.

## G

GapLabeler - Interface in opennlp.tools.parser
  Represents a labeler for nodes which contain traces so that these traces can be predicted by a `Parser`.
generate(char[], int, String) - Static method in class opennlp.tools.ngram.NGramGenerator
  Generates nGrams based on a `char[]` input.
generate(List<String>, int, String) - Static method in class opennlp.tools.ngram.NGramGenerator
  Creates nGrams separated by the separator param value i.e.
GENERATE_CELLLINE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_CELLTYPE_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_DNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_GPE_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_LOCATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_MISC_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.Conll02NameSampleStream
GENERATE_PERSON_ENTITIES - Static variable in class opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PROTEIN_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_RNA_ENTITIES - Static variable in class opennlp.tools.formats.BioNLP2004NameSampleStream
generateEvents(String[], String[], Object[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateEvents(String[], String[], NameContextGenerator) - Static method in class opennlp.tools.namefind.NameFinderEventStream
  Generates `events` for each token in a `sentence` with the specified `outcomes` using the specified `NameContextGenerator`.
generateEvents(String[], String[], POSContextGenerator) - Static method in class opennlp.tools.postag.POSSampleEventStream
generateOutcomes(Span[], String, int) - Static method in class opennlp.tools.namefind.NameFinderEventStream
  Deprecated, for removal: This API element is subject to removal in a future version.
  use the `BioCodec` implementation of the SequenceValidator instead!
GeneratorFactory - Class in opennlp.tools.util.featuregen
  Creates a set of feature generators based on a provided XML descriptor.
GeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory
GeneratorFactory.AbstractXmlFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
GenericModelReader - Class in opennlp.tools.ml.model
  An generic `AbstractModelReader` implementation.
GenericModelReader(File) - Constructor for class opennlp.tools.ml.model.GenericModelReader
  Initializes a `GenericModelReader` via a `File`.
GenericModelReader(DataReader) - Constructor for class opennlp.tools.ml.model.GenericModelReader
  Initializes a `GenericModelReader` via a `DataReader`.
GenericModelSerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `models`.
GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer
GenericModelWriter - Class in opennlp.tools.ml.model
  An generic `AbstractModelWriter` implementation.
GenericModelWriter(AbstractModel, DataOutputStream) - Constructor for class opennlp.tools.ml.model.GenericModelWriter
  Initializes a `GenericModelWriter` for an `AbstractModel` with an associated `DataOutputStream` the model shall be written to.
GenericModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.model.GenericModelWriter
  Initializes a `GenericModelWriter` for an `AbstractModel` with an associated `File` the model shall be written to.
GERMAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
germanStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
germanStemmer() - Constructor for class opennlp.tools.stemmer.snowball.germanStemmer
get() - Method in class opennlp.tools.ml.naivebayes.LogProbability
get() - Method in class opennlp.tools.ml.naivebayes.Probability
get(String) - Method in interface opennlp.tools.util.wordvector.WordVectorTable
get(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
get(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
getAbbreviationDictionary() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getAbbreviationDictionary() - Method in class opennlp.tools.tokenize.TokenizerFactory
getAbbreviations() - Method in class opennlp.tools.sentdetect.SentenceModel
getAbbreviations() - Method in class opennlp.tools.tokenize.TokenizerModel
getAccuracy() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
  `accuracy = correctly categorized documents / total documents`
getAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
getAdditionalContext() - Method in class opennlp.tools.namefind.NameSample
getAdditionalContext() - Method in class opennlp.tools.postag.POSSample
getAlgorithm() - Method in class opennlp.tools.ml.AbstractTrainer
getAll() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getAll() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getAllOutcomes(double[]) - Method in class opennlp.tools.ml.model.AbstractModel
  Retrieves a string matching all the outcome names with all the probabilities produced by the `MaxentModel.eval(String[])` method.
getAllOutcomes(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Retrieves a string matching all the outcome names with all the probabilities produced by the `MaxentModel.eval(String[])` method.
getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME
getAllResults(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves the name of the category associated with the given probabilities.
getAllResults(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getAlphanumeric(String) - Method in class opennlp.tools.tokenize.lang.Factory
  Gets the alphanumeric pattern for a language.
getAlphaNumericPattern() - Method in class opennlp.tools.tokenize.TokenizerFactory
getAnnotation(String) - Method in class opennlp.tools.formats.brat.BratDocument
getAnnotationConfig() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getAnnotations() - Method in class opennlp.tools.formats.brat.BratDocument
getArg1() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArg2() - Method in class opennlp.tools.formats.brat.RelationAnnotation
getArguments() - Method in class opennlp.tools.formats.brat.EventAnnotation
getArtifact(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
getArtifact(String) - Method in class opennlp.tools.util.model.BaseModel
getArtifactSerializerClass() - Method in class opennlp.tools.dictionary.Dictionary
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.en.HeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSDictionary
getArtifactSerializerClass() - Method in class opennlp.tools.postag.POSModel
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.BrownCluster
getArtifactSerializerClass() - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
getArtifactSerializerClass() - Method in interface opennlp.tools.util.model.SerializableArtifact
  Retrieves the class which can serialize and recreate this artifact.
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
getArtifactSerializerMapping() - Method in class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
getAsDouble(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAsFloat(int) - Method in interface opennlp.tools.util.wordvector.WordVector
getAttachedId() - Method in class opennlp.tools.formats.brat.AnnotatorNoteAnnotation
getAttachedTo() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getAttachModel() - Method in class opennlp.tools.parser.ParserModel
getAvailableModels() - Static method in class opennlp.tools.util.DownloadUtil
getBase() - Method in class opennlp.tools.formats.masc.MascToken
getBases() - Method in class opennlp.tools.formats.masc.MascPennTagParser
getBestCategory(double[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves the best category from previously generated `outcome` probabilities
getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getBestOutcome(double[]) - Method in class opennlp.tools.ml.model.AbstractModel
  Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
getBestOutcome(double[]) - Method in interface opennlp.tools.ml.model.MaxentModel
  Retrieves the outcome associated with the index containing the highest probability in the double[].
getBool(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBool(String, boolean) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBooleanParameter(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value.
getBooleanParameter(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value in the specified namespace.
getBratDataDir() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getBuildModel() - Method in class opennlp.tools.parser.ParserModel
getCachedFeatureGenerator() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getCategory() - Method in class opennlp.tools.doccat.DocumentSample
getCategory(int) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves the category at a given `index`.
getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getCheckModel() - Method in class opennlp.tools.parser.ParserModel
getChildCount() - Method in class opennlp.tools.parser.Parse
getChildren() - Method in class opennlp.tools.parser.Parse
getChunkerSequenceModel() - Method in class opennlp.tools.chunker.ChunkerModel
getChunkSize() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  After processing a chunk of this size, the probing detection will compute probabilities and determine if there is enough confidence to stop.
getCommonParent(Parse) - Method in class opennlp.tools.parser.Parse
  Returns the deepest shared parent of this node and the specified node.
getConfidence() - Method in class opennlp.tools.langdetect.Language
getConfidence() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getConfig() - Method in class opennlp.tools.formats.brat.BratDocument
getContext() - Method in class opennlp.tools.ml.model.Event
getContext(int, Object[], String[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
  Returns the context for making a postag decision at the specified token `index` given the specified `tokens` and previous `tags`.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
  Finds the context for finding names at the specified index.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Returns the context for making a postag decision at the specified token `index` given the specified `tokens` and previous `tags`.
getContext(int, String[], String[], Object[]) - Method in class opennlp.tools.postag.DefaultPOSContextGenerator
  Returns the context for making a postag decision at the specified token `index` given the specified `tokens` and previous `tags`.
getContext(int, String[], String[], Object[]) - Method in interface opennlp.tools.postag.POSContextGenerator
  Returns the context for making a postag decision at the specified token `index` given the specified `tokens` and previous `tags`.
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.chunker.ChunkerContextGenerator
  Retrieves the contexts for chunking of the specified `idx`.
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Method in interface opennlp.tools.lemmatizer.LemmatizerContextGenerator
  Returns the contexts for lemmatizing of the specified index.
getContext(int, String[], String[], String[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Method in class opennlp.tools.parser.ChunkContextGenerator
getContext(int, T[], String[], Object[]) - Method in interface opennlp.tools.util.BeamSearchContextGenerator
  Returns the context for the specified position in the specified `sequence` (list).
getContext(CharSequence) - Method in class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
getContext(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetectorContextGenerator
  Retrieves the contexts for a `document` using character ngrams.
getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
getContext(CharSequence, int) - Method in interface opennlp.tools.sentdetect.SDContextGenerator
  Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.
getContext(Object) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
getContext(Object) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(String) - Method in class opennlp.tools.ml.maxent.BasicContextGenerator
getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
getContext(String, int) - Method in interface opennlp.tools.tokenize.TokenContextGenerator
getContext(Parse[], int) - Method in class opennlp.tools.parser.chunking.BuildContextGenerator
  Finds the predictive context used to determine how constituent at the specified `index` should be combined with other constituents.
getContext(Parse[], int) - Method in class opennlp.tools.parser.treeinsert.BuildContextGenerator
  Finds the contexts/features for the decision to build a new constituent for the specified parse at the specified `index`.
getContext(Parse[], int, List<Parse>, int) - Method in class opennlp.tools.parser.treeinsert.AttachContextGenerator
  Finds the predictive contextual features about an attachment.
getContext(Parse[], String, int, int) - Method in class opennlp.tools.parser.chunking.CheckContextGenerator
  Finds predictive context for deciding whether the specified constituents between the specified `start` and `end` index can be combined to form a new constituent of the specified `type`.
getContext(Parse, Parse[], int, boolean) - Method in class opennlp.tools.parser.treeinsert.CheckContextGenerator
  Finds the predictive context used to determine how constituent at the specified `index` should be combined with a `parent` constituent.
getContext(T) - Method in interface opennlp.tools.ml.maxent.ContextGenerator
  Builds up the list of contextual predicates given an `object`.
getContextGenerator() - Method in class opennlp.tools.chunker.ChunkerFactory
getContextGenerator() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
getContextGenerator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getContextGenerator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getContextGenerator() - Method in class opennlp.tools.tokenize.TokenizerFactory
getContexts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getContexts() - Method in interface opennlp.tools.ml.model.DataIndexer
getCount(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves the count of the given `ngram`.
getCount(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Retrieves the count of the given ngram.
getCoveredText() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getCoveredText() - Method in class opennlp.tools.parser.Parse
getCoveredText(CharSequence) - Method in class opennlp.tools.util.Span
getCurrent() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram
  Get the current string.
getCurrentBuffer() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram
  Get the current buffer containing the stem.
getCurrentBufferLength() - Method in class opennlp.tools.stemmer.snowball.SnowballProgram
  Get the valid length of the character array in `SnowballProgram.getCurrentBuffer()`.
getCurrPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getCutoff() - Method in class opennlp.tools.ml.AbstractTrainer
getData() - Method in interface opennlp.tools.cmdline.params.BasicFormatParams
getDataDir() - Method in interface opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory.Parameters
getDataIndexer(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
getDataIndexer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.model.DataIndexerFactory
  Instantiates a `DataIndexer` configured via `TrainingParameters`.
getDataStructures() - Method in class opennlp.tools.ml.model.AbstractModel
  Provides the fundamental data structures which encode the `MaxentModel` information.
getDataType() - Method in interface opennlp.tools.util.wordvector.WordVector
getDefaultRegexNameFinders(Map<String, Pattern[]>, RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory
  Allows for use of selected Defaults as well as regexes from external configuration.
getDefaultRegexNameFinders(RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Static method in class opennlp.tools.namefind.RegexNameFinderFactory
  Retrieves a `RegexNameFinder` that will utilize specified default regexes.
getDeprel() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getDeps() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getDerivation() - Method in class opennlp.tools.parser.Parse
getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
  Provides a `List` with all the elements in the xml feature descriptor.
getDetokenizer() - Method in interface opennlp.tools.cmdline.params.DetokenizerParameter
getDetokenizer() - Method in interface opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory.Parameters
getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
getDimension() - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getDimension() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
getDocument() - Method in class opennlp.tools.sentdetect.SentenceSample
getDocumentAccuracy() - Method in class opennlp.tools.doccat.DoccatCrossValidator
getDocumentAccuracy() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
getDocumentCount() - Method in class opennlp.tools.doccat.DoccatCrossValidator
getDocumentCount() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorCrossValidator
getDocumentCount() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
getDocumentId() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getDouble(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDouble(String, double) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDoubleParameter(String, double) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value.
getDoubleParameter(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value in the specified namespace.
getElement(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
  Parse a tree element from a AD line
getElements() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
getEncoding() - Method in interface opennlp.tools.cmdline.params.EncodingParameter
getEncoding() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters
getEncoding() - Method in interface opennlp.tools.formats.ad.ADNameSampleStreamFactory.Parameters
getEncoding() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters
getEncoding() - Method in interface opennlp.tools.formats.ad.ADSentenceSampleStreamFactory.Parameters
getEnd() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters
getEnd() - Method in class opennlp.tools.util.Span
  Note: that the returned index is one past the actual end of the span in the text, or the first element past the end of the span.
getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEntityIDsToTokens() - Method in class opennlp.tools.formats.masc.MascNamedEntityParser
getEntityIDtoEntityType() - Method in class opennlp.tools.formats.masc.MascNamedEntityParser
getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel
getEOSCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getEOSCharacters() - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory
getEvaluator() - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
  Retrieves an `EventModelSequenceTrainer` that fits the given parameters.
getEvents() - Method in class opennlp.tools.ml.model.Sequence
getEventTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
  Works just like `TrainerFactory.getEventTrainer(TrainingParameters, Map, TrainingConfiguration)` except that `TrainingConfiguration` is initialized with default values.
getEventTrainer(TrainingParameters, Map<String, String>, TrainingConfiguration) - Static method in class opennlp.tools.ml.TrainerFactory
  Retrieves an `EventTrainer` that fits the given parameters.
getEventTrigger() - Method in class opennlp.tools.formats.brat.EventAnnotation
getExpandME() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters
getExtraInformation() - Method in class opennlp.tools.doccat.DocumentSample
getFactory() - Method in class opennlp.tools.chunker.ChunkerModel
getFactory() - Method in class opennlp.tools.doccat.DoccatModel
getFactory() - Method in class opennlp.tools.langdetect.LanguageDetectorModel
getFactory() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getFactory() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getFactory() - Method in class opennlp.tools.postag.POSModel
getFactory() - Method in class opennlp.tools.sentdetect.SentenceModel
getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
getFctEvalCount() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFeats() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getFeatureGenerators() - Method in class opennlp.tools.doccat.DoccatFactory
getFileFilter() - Method in interface opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory.Parameters
getFileFilter() - Method in interface opennlp.tools.formats.masc.MascPOSSampleStreamFactory.Parameters
getFileFilter() - Method in interface opennlp.tools.formats.masc.MascSentenceSampleStreamFactory.Parameters
getFileFilter() - Method in interface opennlp.tools.formats.masc.MascTokenSampleStreamFactory.Parameters
getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getFlex() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getFloat(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFloat(String, float) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerCrossValidator
getFMeasure() - Method in class opennlp.tools.chunker.ChunkerEvaluator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderCrossValidator
getFMeasure() - Method in class opennlp.tools.namefind.TokenNameFinderEvaluator
getFMeasure() - Method in class opennlp.tools.parser.ParserCrossValidator
getFMeasure() - Method in class opennlp.tools.parser.ParserEvaluator
getFMeasure() - Method in class opennlp.tools.sentdetect.SDCrossValidator
getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.DetokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator
getFMeasure() - Method in class opennlp.tools.util.eval.FMeasure
  `f-measure = 2 * precision * recall / (precision + recall)`.
getFolds() - Method in interface opennlp.tools.cmdline.params.CVParams
getForm() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getFuncChangeRate() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFunctionalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Retrieves a `Collections` of all aggregated `feature generators`.
getGradAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper
getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp
getHead() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getHead() - Method in class opennlp.tools.parser.Parse
getHead(Parse[], String) - Method in interface opennlp.tools.parser.HeadRules
  Retrieves the head `constituent` for the specified constituents of given `type`.
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getHeadIndex() - Method in class opennlp.tools.parser.Parse
getHeadRules() - Method in class opennlp.tools.parser.ParserModel
getHelp() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
getHelp() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getHelp() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
getHelp() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getHelp() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getHelp() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getHelp() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getHelp() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getHelp() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
getHelp() - Method in class opennlp.tools.cmdline.parser.ParserTool
getHelp() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getHelp() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
getHelp() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getHelp() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
getId() - Method in class opennlp.tools.formats.brat.BratAnnotation
getId() - Method in class opennlp.tools.formats.brat.BratDocument
getId() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getId() - Method in class opennlp.tools.formats.masc.MascWord
getId() - Method in class opennlp.tools.namefind.NameSample
getIncludeFeatures() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters
getIncludeTitles() - Method in interface opennlp.tools.formats.ad.ADSentenceSampleStreamFactory.Parameters
getIndex(String) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves the index of a certain category.
getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getIndex(String) - Method in class opennlp.tools.ml.model.AbstractModel
getIndex(String) - Method in interface opennlp.tools.ml.model.MaxentModel
  Retrieves the index associated with the String name of the given outcome.
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream
getInitialObject(double, double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initial linear search object for L1-regularization.
getInitialObject(double, double[], double[], double[], double[], int) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initial linear search object for L1-regularization.
getInitialObjectForL1(double, double[], double[], double[]) - Static method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initial linear search object for L1-regularization.
getInitialPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getInstance() - Static method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
getInstance() - Static method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
getInt(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getInt(String, int) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getIntParameter(String, int) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value.
getIntParameter(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value in the specified namespace.
getItemID() - Method in class opennlp.tools.entitylinker.BaseLink
getItemName() - Method in class opennlp.tools.entitylinker.BaseLink
getItemParentID() - Method in class opennlp.tools.entitylinker.BaseLink
getItemType() - Method in class opennlp.tools.entitylinker.BaseLink
getIterations() - Method in class opennlp.tools.ml.AbstractTrainer
getKeys() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getLabel() - Method in class opennlp.tools.ml.naivebayes.LogProbability
getLabel() - Method in class opennlp.tools.ml.naivebayes.Probability
getLabel() - Method in class opennlp.tools.parser.Constituent
  Returns the label of the constituent.
getLabel() - Method in class opennlp.tools.parser.Parse
  Retrieves the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.
getLabelComparator(Map<String, FineGrainedReportListener.Counter>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getLang() - Method in interface opennlp.tools.cmdline.params.LanguageParams
getLang() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getLang() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters
getLang() - Method in interface opennlp.tools.formats.ad.ADNameSampleStreamFactory.Parameters
getLang() - Method in interface opennlp.tools.formats.ad.ADPOSSampleStreamFactory.Parameters
getLang() - Method in interface opennlp.tools.formats.ad.ADSentenceSampleStreamFactory.Parameters
getLang() - Method in interface opennlp.tools.formats.Conll02NameSampleStreamFactory.Parameters
getLang() - Method in interface opennlp.tools.formats.Conll03NameSampleStreamFactory.Parameters
getLang() - Method in interface opennlp.tools.formats.EvalitaNameSampleStreamFactory.Parameters
getLang() - Method in class opennlp.tools.formats.LanguageSampleStreamFactory
getLang() - Method in class opennlp.tools.langdetect.Language
getLanguage() - Method in interface opennlp.tools.util.model.ArtifactProvider
getLanguage() - Method in class opennlp.tools.util.model.BaseModel
getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory
getLemma() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLemma() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getLemmas() - Method in class opennlp.tools.lemmatizer.LemmaSample
getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
getLevel() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getLexeme() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLinkedEntries() - Method in class opennlp.tools.entitylinker.LinkedSpan
getLinker(String, EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory
  Retrieves a `EntityLinker` instance matching the `properties` configuration.
getLinker(EntityLinkerProperties) - Static method in class opennlp.tools.entitylinker.EntityLinkerFactory
  Retrieves a `EntityLinker` instance matching the `properties` configuration.
getLog() - Method in class opennlp.tools.ml.naivebayes.LogProbability
getLog() - Method in class opennlp.tools.ml.naivebayes.Probability
getLog(T) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getLog(T) - Method in class opennlp.tools.ml.naivebayes.Probabilities
getLong(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getLong(String, long) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getMajor() - Method in class opennlp.tools.util.Version
getManifestProperty(String) - Method in interface opennlp.tools.util.model.ArtifactProvider
getManifestProperty(String) - Method in class opennlp.tools.util.model.BaseModel
getMatchingPatterns() - Method in class opennlp.tools.namefind.RegexNameFinder
getMatrixLabelComparator(Map<String, FineGrainedReportListener.ConfusionMatrixLine>) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getMax() - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
getMax() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getMaxentModel() - Method in class opennlp.tools.doccat.DoccatModel
getMaxentModel() - Method in class opennlp.tools.langdetect.LanguageDetectorModel
getMaxentModel() - Method in class opennlp.tools.sentdetect.SentenceModel
getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel
getMaxLength() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMaxTokenLength() - Method in class opennlp.tools.tokenize.WordpieceTokenizer
getMaxValue() - Method in class opennlp.tools.ml.naivebayes.Probabilities
getMeasureName() - Method in enum class opennlp.tools.monitoring.TrainingMeasure
getMessageIfSatisfied() - Method in class opennlp.tools.monitoring.IterDeltaAccuracyUnderTolerance
getMessageIfSatisfied() - Method in class opennlp.tools.monitoring.LogLikelihoodThresholdBreached
getMessageIfSatisfied() - Method in interface opennlp.tools.monitoring.StopCriteria
getMinConsecImprovements() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  If this value equals `0`, probing detection will rely solely on `LanguageDetectorConfig.getMinDiff()`
getMinDiff() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
  If this value equals `0`, probing detection will rely solely on `LanguageDetectorConfig.getMinConsecImprovements()`
getMinor() - Method in class opennlp.tools.util.Version
getMinTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMisc() - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getMisclassified() - Method in interface opennlp.tools.cmdline.params.CVParams
getMisclassified() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Method in interface opennlp.tools.cmdline.params.TrainingToolParams
getModel() - Method in class opennlp.tools.ml.model.AbstractModelReader
getModelType() - Method in class opennlp.tools.ml.model.AbstractModel
getMorphologicalTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getName() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getName() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getName() - Method in enum class opennlp.tools.models.ModelType
getNameCounters() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getNamedEntities() - Method in class opennlp.tools.formats.masc.MascSentence
getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getNames() - Method in class opennlp.tools.namefind.NameSample
getNameTypes() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getNextPoint() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getNextPunctuationSet() - Method in class opennlp.tools.parser.Parse
getNGrams(String[], int) - Static method in class opennlp.tools.ngram.NGramUtils
  Get the ngrams of dimension n of a certain input sequence of tokens.
getNGrams(StringList, int) - Static method in class opennlp.tools.ngram.NGramUtils
  Get the ngrams of dimension n of a certain input sequence of tokens.
getNMinusOneTokenFirst(StringList) - Static method in class opennlp.tools.ngram.NGramUtils
  get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
getNMinusOneTokenLast(StringList) - Static method in class opennlp.tools.ngram.NGramUtils
  get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram
getNonTokenizedText() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getNote() - Method in class opennlp.tools.formats.brat.BratAnnotation
getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getNumberOfCategories() - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves the number of categories.
getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME
getNumEvents() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumEvents() - Method in interface opennlp.tools.ml.model.DataIndexer
getNumOutcomes() - Method in class opennlp.tools.ml.maxent.quasinewton.QNModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.AbstractModel
getNumOutcomes() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getNumOutcomes() - Method in class opennlp.tools.ml.model.EvalParameters
getNumOutcomes() - Method in interface opennlp.tools.ml.model.MaxentModel
getNumTimesEventsSeen() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getNumTimesEventsSeen() - Method in interface opennlp.tools.ml.model.DataIndexer
getObjectSettings() - Method in class opennlp.tools.util.TrainingParameters
getObjectSettings(String) - Method in class opennlp.tools.util.TrainingParameters
getOntoNotesDir() - Method in interface opennlp.tools.formats.ontonotes.OntoNotesFormatParameters
getOrderedTags(List<String>, List<String>, int) - Method in class opennlp.tools.postag.POSTaggerME
getOrderedTags(List<String>, List<String>, int, double[]) - Method in class opennlp.tools.postag.POSTaggerME
getOriginal() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getOutcome() - Method in class opennlp.tools.ml.model.Event
getOutcome(int) - Method in class opennlp.tools.ml.model.AbstractModel
getOutcome(int) - Method in interface opennlp.tools.ml.model.MaxentModel
  Retrieves the String name of the outcome associated with the index `i`.
getOutcome(int) - Method in class opennlp.tools.util.Sequence
getOutcomeLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
getOutcomeList() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeList() - Method in interface opennlp.tools.ml.model.DataIndexer
getOutcomes() - Method in class opennlp.tools.ml.BeamSearch
getOutcomes() - Method in class opennlp.tools.ml.model.Context
getOutcomes() - Method in interface opennlp.tools.ml.model.SequenceClassificationModel
getOutcomes() - Method in class opennlp.tools.util.Sequence
getOutcomeTotals() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getParagraphId() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getParameters() - Method in class opennlp.tools.formats.AbstractSampleStreamFactory
getParameters() - Method in class opennlp.tools.ml.model.Context
getParameters(String) - Method in class opennlp.tools.util.TrainingParameters
getParams() - Method in interface opennlp.tools.cmdline.params.BasicTrainingParams
getParams() - Method in class opennlp.tools.ml.model.DynamicEvalParameters
getParams() - Method in class opennlp.tools.ml.model.EvalParameters
getParent() - Method in class opennlp.tools.parser.Parse
getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel
getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel
getParserType() - Method in class opennlp.tools.parser.ParserModel
getPhrasesAsSpanList() - Method in class opennlp.tools.chunker.ChunkSample
getPos() - Method in class opennlp.tools.formats.masc.MascToken
getPOSContextGenerator() - Method in class opennlp.tools.postag.POSTaggerFactory
getPOSContextGenerator(int) - Method in class opennlp.tools.postag.POSTaggerFactory
getPositions(char[]) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(char[]) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  The receiver scans `cbuf` for sentence ending characters and returns their offsets.
getPositions(CharSequence) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(CharSequence) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  The receiver scans the specified string for sentence ending characters and returns their offsets.
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(StringBuffer) - Method in interface opennlp.tools.sentdetect.EndOfSentenceScanner
  The receiver scans `buf` for sentence ending characters and returns their offsets.
getPosSequenceModel() - Method in class opennlp.tools.postag.POSModel
getPosTag(ConlluTagset) - Method in class opennlp.tools.formats.conllu.ConlluWordLine
getPrecisionScore() - Method in class opennlp.tools.util.eval.FMeasure
getPredCounts() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredCounts() - Method in interface opennlp.tools.ml.model.DataIndexer
getPredLabels() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getPredLabels() - Method in interface opennlp.tools.ml.model.DataIndexer
getPreds() - Method in class opennlp.tools.chunker.ChunkSample
getPreviousPunctuationSet() - Method in class opennlp.tools.parser.Parse
getProb() - Method in class opennlp.tools.parser.Parse
getProb() - Method in class opennlp.tools.util.Span
getProb(int) - Method in class opennlp.tools.util.Sequence
getProbabilities() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated, for removal: This API element is subject to removal in a future version.
  Use `ThreadSafeTokenizerME.probs()` instead.
getProbs() - Method in class opennlp.tools.util.Sequence
getProbs(double[]) - Method in class opennlp.tools.util.Sequence
  Populates an array with the probabilities associated with the `Sequence` outcomes.
getProperty(String, String) - Method in class opennlp.tools.entitylinker.EntityLinkerProperties
  Retrieves a property value for a given `key`.
getPseudoGradAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getPunctuationTags() - Method in interface opennlp.tools.parser.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getQuarks() - Method in class opennlp.tools.formats.masc.MascToken
getRecallScore() - Method in class opennlp.tools.util.eval.FMeasure
getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory.Parameters
getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascPOSSampleStreamFactory.Parameters
getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascSentenceSampleStreamFactory.Parameters
getRecurrentSearch() - Method in interface opennlp.tools.formats.masc.MascTokenSampleStreamFactory.Parameters
getRecursive() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getReportOutputFile() - Method in interface opennlp.tools.cmdline.params.FineGrainedEvaluatorParams
getResource(String) - Method in interface opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
getResultBuffer() - Method in class opennlp.tools.stemmer.PorterStemmer
  Returns a reference to a character buffer containing the results of the stemming process.
getResultLength() - Method in class opennlp.tools.stemmer.PorterStemmer
  Returns the length of the word resulting from the stemming process.
getRevision() - Method in class opennlp.tools.util.Version
getRightFrontier(Parse, Set<String>) - Static method in class opennlp.tools.parser.treeinsert.Parser
  Returns the right frontier of the specified `tree` with nodes ordered from deepest to shallowest.
getRuleBasedTokenizer() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getRuleBasedTokenizer() - Method in interface opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory.Parameters
getSamplesPerLanguage() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters
getSamplesToSkip() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters
getScore() - Method in class opennlp.tools.util.Sequence
getScoreMap() - Method in class opennlp.tools.entitylinker.BaseLink
getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getSearchTerm() - Method in class opennlp.tools.entitylinker.LinkedSpan
getSecondaryTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getSegments() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument
getSentDetectText() - Method in class opennlp.tools.formats.masc.MascSentence
getSentence() - Method in class opennlp.tools.chunker.ChunkSample
getSentence() - Method in class opennlp.tools.namefind.NameSample
getSentence() - Method in class opennlp.tools.postag.POSSample
getSentenceCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getSentenceDetectorModel() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getSentenceid() - Method in class opennlp.tools.entitylinker.LinkedSpan
getSentenceIdComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Deprecated, for removal: This API element is subject to removal in a future version.
  Use `SentenceDetectorME.probs()` instead.
getSentenceProbabilities() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
  Use `ThreadSafeSentenceDetectorME.probs()` instead.
getSentences() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
getSentences() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument
getSentences() - Method in class opennlp.tools.sentdetect.SentenceSample
getSentencesDir() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters
getSentencesPerSample() - Method in interface opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory.Parameters
getSentencesPerSample() - Method in interface opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory.Parameters
getSentencesPerSample() - Method in interface opennlp.tools.formats.masc.MascSentenceSampleStreamFactory.Parameters
getSentencesPerSample() - Method in interface opennlp.tools.formats.masc.MascTokenSampleStreamFactory.Parameters
getSequenceCodec() - Method in class opennlp.tools.namefind.TokenNameFinderModel
getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
  Retrieves a `SequenceTrainer` that fits the given parameters.
getSequenceValidator() - Method in class opennlp.tools.chunker.ChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
getSequenceValidator() - Method in class opennlp.tools.parser.ParserChunkerFactory
getSequenceValidator() - Method in class opennlp.tools.postag.POSTaggerFactory
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTool
getShortDescription() - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getShortDescription() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
getShortDescription() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.CheckModelUpdaterTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
getShortDescription() - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getShortDescription() - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
getShortDescription() - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
getShortestEditScript(String, String) - Static method in class opennlp.tools.util.StringUtil
getSignVector() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getSize() - Method in class opennlp.tools.util.Sequence
getSource() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getSource() - Method in class opennlp.tools.ml.model.Sequence
  This object is used when the events for this sequence need to be re-derived such as in a call to `SequenceStream.updateContext(Sequence, AbstractModel)`.
getSpan() - Method in class opennlp.tools.parser.Constituent
  Returns the span of the constituent.
getSpan() - Method in class opennlp.tools.parser.Parse
getSpans() - Method in class opennlp.tools.formats.brat.SpanAnnotation
getSpanType() - Method in class opennlp.tools.namefind.RegexNameFinder
getSplitHyphenatedTokens() - Method in interface opennlp.tools.formats.ad.ADNameSampleStreamFactory.Parameters
getStart() - Method in interface opennlp.tools.formats.ad.ADChunkSampleStreamFactory.Parameters
getStart() - Method in class opennlp.tools.util.Span
getStepSize() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getStr(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStr(String, String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStringParameter(String, String) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value.
getStringParameter(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
  Obtains a training parameter value in the specified namespace.
getSupportedLanguages() - Method in interface opennlp.tools.langdetect.LanguageDetector
getSupportedLanguages() - Method in class opennlp.tools.langdetect.LanguageDetectorME
getSupportedLanguages() - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
getSurface() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getSyntacticTag() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
getTagNodes() - Method in class opennlp.tools.parser.Parse
getTags() - Method in class opennlp.tools.chunker.ChunkSample
getTags() - Method in class opennlp.tools.formats.masc.MascPennTagParser
getTags() - Method in class opennlp.tools.formats.masc.MascSentence
getTags() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTags() - Method in class opennlp.tools.postag.POSSample
getTags(String) - Method in class opennlp.tools.postag.POSDictionary
  Returns a list of valid tags for the specified `word`.
getTags(String) - Method in interface opennlp.tools.postag.TagDictionary
  Retrieves a list of valid tags for the specified `word`.
getTagSequenceProb() - Method in class opennlp.tools.parser.Parse
getTagset() - Method in interface opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory.Parameters
getTagset() - Method in interface opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory.Parameters
getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
  Retrieves the `ObjectStream` over the test/evaluations elements and poisons this `CrossValidationPartitioner.TrainingSampleStream`.
getText() - Method in class opennlp.tools.doccat.DocumentSample
getText() - Method in class opennlp.tools.formats.brat.BratDocument
getText() - Method in class opennlp.tools.parser.Parse
getText() - Method in class opennlp.tools.tokenize.TokenSample
getTextComment() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getTextFile() - Method in interface opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory.Parameters
getTextLang() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getToken(int) - Method in class opennlp.tools.util.StringList
getTokenCount() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
getTokenId() - Method in class opennlp.tools.formats.masc.MascToken
getTokenizerModel() - Method in interface opennlp.tools.formats.brat.BratNameSampleStreamFactory.Parameters
getTokenizerModel() - Method in interface opennlp.tools.formats.muc.Muc6NameSampleStreamFactory.Parameters
getTokenizerModel() - Method in interface opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory.Parameters
getTokenNodes() - Method in class opennlp.tools.parser.Parse
getTokenProbabilities() - Method in class opennlp.tools.tokenize.TokenizerME
  Deprecated, for removal: This API element is subject to removal in a future version.
  Use `TokenizerME.probs()` instead.
getTokens() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokens() - Method in class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getTokens() - Method in class opennlp.tools.lemmatizer.LemmaSample
getTokenSample() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokenSpans() - Method in class opennlp.tools.tokenize.TokenSample
getTokensSpans() - Method in class opennlp.tools.formats.masc.MascSentence
  Retrieves the boundaries of individual tokens.
getTokenStrings() - Method in class opennlp.tools.formats.masc.MascSentence
getTokenText() - Method in class opennlp.tools.formats.masc.MascSentence
getTokenToQuarks() - Method in class opennlp.tools.formats.masc.MascPennTagParser
getTrainerType(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory
  Determines the `TrainerFactory.TrainerType` based on the `TrainingParameters.ALGORITHM_PARAM` value.
getTrainingConfiguration() - Method in class opennlp.tools.ml.AbstractTrainer
  Retrieves the `TrainingConfiguration` associated with an `AbstractTrainer`.
getTranslation() - Method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTranslit() - Method in class opennlp.tools.formats.conllu.ConlluSentence
getType() - Method in class opennlp.tools.formats.brat.BratAnnotation
getType() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getType() - Method in class opennlp.tools.parser.Parse
getType() - Method in class opennlp.tools.util.Span
getTypeClass(String) - Method in class opennlp.tools.formats.brat.AnnotationConfiguration
getTypes() - Method in interface opennlp.tools.formats.BioNLP2004NameSampleStreamFactory.Parameters
getTypes() - Method in interface opennlp.tools.formats.Conll02NameSampleStreamFactory.Parameters
getTypes() - Method in interface opennlp.tools.formats.Conll03NameSampleStreamFactory.Parameters
getTypes() - Method in interface opennlp.tools.formats.EvalitaNameSampleStreamFactory.Parameters
getValue() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
getValue() - Method in class opennlp.tools.util.MutableInt
getValue(String) - Method in class opennlp.tools.dictionary.serializer.Attributes
  Retrieves the value for the given key or `null` if attribute it not set.
getValueAtCurr() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValueAtNext() - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValues() - Method in class opennlp.tools.ml.model.AbstractDataIndexer
getValues() - Method in interface opennlp.tools.ml.model.DataIndexer
getValues() - Method in class opennlp.tools.ml.model.Event
getValues() - Method in class opennlp.tools.ml.model.OnePassRealValueDataIndexer
getVersion() - Method in class opennlp.tools.util.model.BaseModel
getVocabulary() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getWordAccuracy() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Accuracy is defined as: `word accuracy = correctly detected tags / total words`
getWordAccuracy() - Method in class opennlp.tools.postag.POSEvaluator
  Accuracy defined as: `word accuracy = correctly detected tags / total words`
getWordAccuracy() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
getWordClasses(String, BrownCluster) - Static method in class opennlp.tools.util.featuregen.BrownTokenClasses
  It provides a list containing the pathLengths for a token if found in the Map:token,BrownClass.
getWordCount() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
getWordCount() - Method in class opennlp.tools.postag.POSEvaluator
getWordCount() - Method in class opennlp.tools.postag.POSTaggerCrossValidator
getWordLines() - Method in class opennlp.tools.formats.conllu.ConlluSentence
GISModel - Class in opennlp.tools.ml.maxent
  A maximum entropy model which has been trained using the Generalized Iterative Scaling (GIS) procedure.
GISModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.GISModel
  Initializes a `GISModel` with the specified parameters, outcome names, and predicate/feature labels.
GISModel(Context[], String[], String[], Prior) - Constructor for class opennlp.tools.ml.maxent.GISModel
  Initializes a `GISModel` with the specified parameters, outcome names, and predicate/feature labels.
GISModelReader - Class in opennlp.tools.ml.maxent.io
  The base class for readers of `GIS models`.
GISModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader
  Initializes a `GISModelReader` via a `File`.
GISModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.GISModelReader
  Initializes a `GISModelReader` via a `DataReader`.
GISModelWriter - Class in opennlp.tools.ml.maxent.io
  The base class for writers of `GIS models`.
GISModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.GISModelWriter
  Initializes a `GISModelWriter` for a `GIS model`.
GISTrainer - Class in opennlp.tools.ml.maxent
  An implementation of Generalized Iterative Scaling (GIS).
GISTrainer() - Constructor for class opennlp.tools.ml.maxent.GISTrainer
  Initializes a `GISTrainer`.
Glove - Class in opennlp.tools.util.wordvector
  GloVe is an unsupervised learning algorithm for obtaining vector representations for words.
gradientAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
  Computes the gradient for `x`.
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
  Computes the gradient.
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
  Computes the gradient for `x`.
gradientAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
GREEK - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
greekStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
greekStemmer() - Constructor for class opennlp.tools.stemmer.snowball.greekStemmer
guessFormat(POSModel) - Static method in class opennlp.tools.postag.POSTagFormatMapper
  Guesses the `POSTagFormat` of a given `POSModel`

## H

hashCode() - Method in class opennlp.tools.chunker.ChunkSample
hashCode() - Method in class opennlp.tools.dictionary.Dictionary
hashCode() - Method in record class opennlp.tools.dictionary.serializer.Entry
  Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.doccat.DocumentSample
hashCode() - Method in class opennlp.tools.entitylinker.BaseLink
hashCode() - Method in class opennlp.tools.entitylinker.LinkedSpan
hashCode() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.langdetect.Language
hashCode() - Method in record class opennlp.tools.langdetect.LanguageSample
  Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.lemmatizer.LemmaSample
hashCode() - Method in class opennlp.tools.ml.maxent.GISModel
hashCode() - Method in class opennlp.tools.ml.model.AbstractModel
hashCode() - Method in class opennlp.tools.ml.model.ComparableEvent
hashCode() - Method in class opennlp.tools.ml.model.ComparablePredicate
hashCode() - Method in class opennlp.tools.ml.model.Context
hashCode() - Method in class opennlp.tools.ml.model.EvalParameters
hashCode() - Method in class opennlp.tools.ml.model.UniformPrior
hashCode() - Method in class opennlp.tools.ml.perceptron.PerceptronModel
hashCode() - Method in class opennlp.tools.namefind.NameSample
hashCode() - Method in class opennlp.tools.ngram.NGramCharModel
hashCode() - Method in class opennlp.tools.ngram.NGramModel
hashCode() - Method in class opennlp.tools.parser.lang.en.HeadRules
hashCode() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
hashCode() - Method in class opennlp.tools.parser.Parse
hashCode() - Method in class opennlp.tools.parser.ParserModel
hashCode() - Method in class opennlp.tools.postag.POSDictionary
hashCode() - Method in class opennlp.tools.postag.POSModel
hashCode() - Method in class opennlp.tools.postag.POSSample
hashCode() - Method in class opennlp.tools.sentdetect.SentenceSample
hashCode() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.danishStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.dutchStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.englishStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.finnishStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.frenchStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.germanStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.greekStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.italianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.porterStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.romanianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.russianStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.spanishStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.swedishStemmer
hashCode() - Method in class opennlp.tools.stemmer.snowball.turkishStemmer
hashCode() - Method in class opennlp.tools.tokenize.TokenizerModel
hashCode() - Method in class opennlp.tools.tokenize.TokenSample
hashCode() - Method in class opennlp.tools.util.Sequence
hashCode() - Method in class opennlp.tools.util.Span
hashCode() - Method in class opennlp.tools.util.StringList
hashCode() - Method in record class opennlp.tools.util.TokenTag
  Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.util.TrainingConfiguration
  Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.util.Version
hasNamedEntities() - Method in class opennlp.tools.formats.masc.MascDocument
  Checks whether there is NER by GATE-5.0 ANNIE.
hasNext() - Method in interface opennlp.tools.ml.maxent.DataStream
  Test whether there are any events remaining in this `DataStream`.
hasNext() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
hasNext() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
  Checks if there are more partitions available.
hasNext() - Method in class opennlp.tools.util.ReverseListIterator
hasParams() - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
hasPennTags() - Method in class opennlp.tools.formats.masc.MascDocument
  Checks whether there is Penn tagging produced by GATE-5.0 ANNIE.
HeadRules - Class in opennlp.tools.parser.lang.en
  Class for storing the English `HeadRules` associated with parsing.
HeadRules - Interface in opennlp.tools.parser
  Encoder for head rules associated with parsing.
HeadRules(Reader) - Constructor for class opennlp.tools.parser.lang.en.HeadRules
  Creates a new set of head rules based on the specified reader.
HeadRules.HeadRulesSerializer - Class in opennlp.tools.parser.lang.en
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
HeadRulesSerializer() - Constructor for class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
HUNGARIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
hungarianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
hungarianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.hungarianStemmer

## I

ID - Static variable in class opennlp.tools.util.ext.ExtensionServiceKeys
  Property key for the unique `id` which identifies an OpenNLP extension service.
INC_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The label for the top if an incomplete node.
INCOMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome used when a constituent is incomplete.
increment() - Method in class opennlp.tools.util.MutableInt
  Adds `1` to the curren value.
index(ObjectStream<Event>) - Method in interface opennlp.tools.ml.model.DataIndexer
  Performs the data indexing.
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.OnePassDataIndexer
  Performs the data indexing.
index(ObjectStream<Event>) - Method in class opennlp.tools.ml.model.TwoPassDataIndexer
  Performs the data indexing.
Index - Class in opennlp.tools.dictionary
  This classes indexes `string lists`.
Index(Iterator<StringList>) - Constructor for class opennlp.tools.dictionary.Index
  Initializes an `Index` with the given `Iterator` over `StringList` elements.
indexOf(Parse) - Method in class opennlp.tools.parser.Parse
INDONESIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
indonesianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
indonesianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.indonesianStemmer
init() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
init() - Method in class opennlp.tools.parser.treeinsert.ParserEventStream
init(EntityLinkerProperties) - Method in interface opennlp.tools.entitylinker.EntityLinker
  Initializes an `EntityLinker` and allows for passing properties through the `EntityLinkerFactory` into all impls dynamically.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.commons.Trainer
  Conducts the initialization of an `Trainer` via `TrainingParameters` and a `report map`.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.AbstractTrainer
  Initializes a `AbstractTrainer` via `TrainingParameters` and a `report map`.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Initializes a `AbstractTrainer` via `TrainingParameters` and a `report map`.
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
init(TrainingParameters, Map<String, String>) - Method in class opennlp.tools.ml.model.AbstractDataIndexer
  Sets parameters used during the data indexing.
init(TrainingParameters, Map<String, String>) - Method in interface opennlp.tools.ml.model.DataIndexer
  Sets parameters used during the data indexing.
init(TrainingParameters, Map<String, String>, TrainingConfiguration) - Method in interface opennlp.tools.commons.Trainer
  Conducts the initialization of a `Trainer` via `TrainingParameters`, `report map` and `TrainingConfiguration`
init(TrainingParameters, Map<String, String>, TrainingConfiguration) - Method in class opennlp.tools.ml.AbstractTrainer
  Conducts the initialization of a `Trainer` via `TrainingParameters`, `report map` and `TrainingConfiguration`
INITIAL_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  The initial step size: `1.0`.
innerProduct(double[], double[]) - Static method in class opennlp.tools.ml.ArrayMath
InputStreamFactory - Interface in opennlp.tools.util
  Allows repeated reads through a stream for certain model building types.
insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter
insert(Parse) - Method in class opennlp.tools.parser.Parse
  Inserts the specified constituent into this parse based on its text span.
InSpanGenerator - Class in opennlp.tools.util.featuregen
  Generates features if the tokens are recognized by the provided `TokenNameFinder`.
InSpanGenerator(String, TokenNameFinder) - Constructor for class opennlp.tools.util.featuregen.InSpanGenerator
  Initializes a `InSpanGenerator` instance.
INSTANCE - Static variable in class opennlp.tools.tokenize.SimpleTokenizer
  Use this static reference to retrieve an instance of the `SimpleTokenizer`.
INSTANCE - Static variable in class opennlp.tools.tokenize.WhitespaceTokenizer
  Use this static reference to retrieve an instance of the `WhitespaceTokenizer`.
instantiateExtension(Class<T>, String) - Static method in class opennlp.tools.util.ext.ExtensionLoader
  Instantiates a user provided extension to OpenNLP.
instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
  Initializes a `SequenceCodec` instance via given parameters.
InsufficientTrainingDataException - Exception in opennlp.tools.util
  This exception indicates that the provided training data is insufficient to train a desired model.
InsufficientTrainingDataException(String) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String, Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(Throwable) - Constructor for exception opennlp.tools.util.InsufficientTrainingDataException
intern(String) - Method in interface opennlp.tools.util.jvm.StringInterner
  Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.
intern(String) - Static method in class opennlp.tools.util.jvm.StringInterners
  Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.
Internal - Annotation Interface in opennlp.tools.commons
  Classes, fields, or methods annotated `&#64;Internal` are for OpenNLP internal use only.
intersects(Span) - Method in class opennlp.tools.util.Span
  Checks if the specified `Span` intersects with this span.
InvalidFormatException - Exception in opennlp.tools.util
  This exception indicates that a resource violates the expected data format.
InvalidFormatException(String) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(String, Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
InvalidFormatException(Throwable) - Constructor for exception opennlp.tools.util.InvalidFormatException
invL2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Computes the Inverse L2-norm for a vector `v`.
IRISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
IrishSentenceBankDocument - Class in opennlp.tools.formats.irishsentencebank
  A structure to hold an Irish Sentence Bank document, which is a collection of tokenized sentences.
IrishSentenceBankDocument() - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
  Initializes an empty `IrishSentenceBankDocument`.
IrishSentenceBankDocument.IrishSentenceBankFlex - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankDocument.IrishSentenceBankSentence - Class in opennlp.tools.formats.irishsentencebank
IrishSentenceBankFlex(String, String[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
IrishSentenceBankSentence(String, String, String, Span[], IrishSentenceBankDocument.IrishSentenceBankFlex[]) - Constructor for class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
IrishSentenceBankSentenceStreamFactory - Class in opennlp.tools.formats.irishsentencebank
  Note: Do not use this class, internal use only!
IrishSentenceBankSentenceStreamFactory.Parameters - Interface in opennlp.tools.formats.irishsentencebank
IrishSentenceBankTokenSampleStreamFactory - Class in opennlp.tools.formats.irishsentencebank
  Note: Do not use this class, internal use only!
IrishSentenceBankTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.irishsentencebank
irishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
irishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.irishStemmer
isAllCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllDigit() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllHiragana() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllKatakana() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isAllLowerCaseLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isCaseSensitive() - Method in class opennlp.tools.dictionary.Dictionary
isCaseSensitive() - Method in class opennlp.tools.postag.POSDictionary
isCaseSensitive() - Method in interface opennlp.tools.postag.TagDictionary
  Whether the dictionary is case-sensitive or not.
isCaseSensitive() - Method in class opennlp.tools.util.StringList
isChunk() - Method in class opennlp.tools.parser.Parse
isChunk(boolean) - Method in class opennlp.tools.parser.Parse
isClearAdaptiveDataSet() - Method in class opennlp.tools.namefind.NameSample
isEmpty(CharSequence) - Static method in class opennlp.tools.util.StringUtil
isFlat() - Method in class opennlp.tools.parser.Parse
  Indicates whether this parse node contains no sub-constituents.
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability
isLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability
  Checks if a probability is greater than the old one.
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
isLeaf() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
isLoadedFromSerialized() - Method in interface opennlp.tools.util.model.ArtifactProvider
  Indicates if this provider was loaded from a serialized form.
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
isNewDocument() - Method in class opennlp.tools.formats.conllu.ConlluSentence
isNewParagraph() - Method in class opennlp.tools.formats.conllu.ConlluSentence
isPosTag() - Method in class opennlp.tools.parser.Parse
  Indicates whether this parse node is a pos-tag.
isSnapshot() - Method in class opennlp.tools.util.Version
isSortAndMerge() - Method in class opennlp.tools.ml.AbstractEventTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.GISTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
isSortAndMerge() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
isTrainingFinished() - Method in class opennlp.tools.monitoring.DefaultTrainingProgressMonitor
  Checks whether the training has finished.
isTrainingFinished() - Method in interface opennlp.tools.monitoring.TrainingProgressMonitor
  Checks whether the training has finished.
isUseAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerFactory
isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
isValid(TrainingParameters) - Static method in class opennlp.tools.ml.TrainerFactory
isWhitespace(char) - Static method in class opennlp.tools.util.StringUtil
  Determines if the specified `Character` is a whitespace.
isWhitespace(int) - Static method in class opennlp.tools.util.StringUtil
  Determines if the specified `Character` is a whitespace.
IT - Enum constant in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
ITALIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
italianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
italianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.italianStemmer
ITERATIONS_DEFAULT_VALUE - Static variable in class opennlp.tools.util.TrainingParameters
  The default number of iterations is 100.
ITERATIONS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
iterator() - Method in class opennlp.tools.dictionary.Dictionary
iterator() - Method in class opennlp.tools.dictionary.serializer.Attributes
  Iterates over the keys.
iterator() - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves an `Iterator` over all `entries`.
iterator() - Method in class opennlp.tools.ngram.NGramModel
  Retrieves an `Iterator` over all `StringList` entries.
iterator() - Method in class opennlp.tools.postag.POSDictionary
  Retrieves an `Iterator` over all words in the dictionary.
iterator() - Method in class opennlp.tools.util.StringList
IterDeltaAccuracyUnderTolerance - Class in opennlp.tools.monitoring
  A `StopCriteria` implementation to identify whether the absolute difference between the training accuracy of current and previous iteration is under the defined tolerance.
IterDeltaAccuracyUnderTolerance(TrainingParameters) - Constructor for class opennlp.tools.monitoring.IterDeltaAccuracyUnderTolerance

## J

jpnEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory

## L

L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  The default L1-cost value is `0.0d`.
L1COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  The default L1-cost value is `0.1d`.
L1COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
l1norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Computes the L1-norm for a vector `v`.
L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  The default L2-cost value is `0.0d`.
L2COST_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  The default L2-cost value is `0.1d`.
L2COST_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
l2norm(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Computes the L2-norm for a vector `v`.
L2RegFunction(Function, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
labelGaps(Stack<Constituent>) - Method in interface opennlp.tools.parser.GapLabeler
  Labels `constituents` found in the `stack` with gap labels if appropriate.
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
language() - Method in record class opennlp.tools.langdetect.LanguageSample
  Returns the value of the `language` record component.
Language - Class in opennlp.tools.langdetect
  Class for holding the document language and its confidence
Language(String) - Constructor for class opennlp.tools.langdetect.Language
Language(String, double) - Constructor for class opennlp.tools.langdetect.Language
LanguageDetector - Interface in opennlp.tools.langdetect
  The interface for `LanguageDetector` which predicts the `Language` for a context.
LanguageDetectorConfig - Class in opennlp.tools.langdetect
LanguageDetectorConfig() - Constructor for class opennlp.tools.langdetect.LanguageDetectorConfig
LanguageDetectorContextGenerator - Interface in opennlp.tools.langdetect
  A context generator interface for `LanguageDetector`.
LanguageDetectorConverterTool - Class in opennlp.tools.cmdline.langdetect
  Tool to convert multiple data formats into native OpenNLP language detection training format.
LanguageDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorConverterTool
LanguageDetectorCrossValidator - Class in opennlp.tools.langdetect
  Cross validator for `LanguageDetector`.
LanguageDetectorCrossValidator(TrainingParameters, LanguageDetectorFactory, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorCrossValidator
  Initializes a `LanguageDetectorCrossValidator` with the given `parameters`.
LanguageDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
LanguageDetectorEvaluationErrorListener - Class in opennlp.tools.cmdline.langdetect
  A default implementation of `EvaluationMonitor` that prints to an output stream.
LanguageDetectorEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
LanguageDetectorEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
LanguageDetectorEvaluationMonitor - Interface in opennlp.tools.langdetect
  A marker interface for evaluating `language detectors`.
LanguageDetectorEvaluator - Class in opennlp.tools.langdetect
  The `LanguageDetectorEvaluator` measures the performance of the given `LanguageDetector` with the provided reference `LanguageSample`s.
LanguageDetectorEvaluator(LanguageDetector, LanguageDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Initializes an instance to evaluate a `LanguageDetector`.
LanguageDetectorEvaluatorTool - Class in opennlp.tools.cmdline.langdetect
  A default `LanguageSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
LanguageDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
LanguageDetectorEventStream - Class in opennlp.tools.langdetect
  Iterator-like class for modeling an event stream of `samples`.
LanguageDetectorEventStream(ObjectStream<LanguageSample>, LanguageDetectorContextGenerator) - Constructor for class opennlp.tools.langdetect.LanguageDetectorEventStream
  Initializes an instance via samples and feature generators.
LanguageDetectorFactory - Class in opennlp.tools.langdetect
  Default factory used by `LanguageDetector`.
LanguageDetectorFactory() - Constructor for class opennlp.tools.langdetect.LanguageDetectorFactory
LanguageDetectorFineGrainedReportListener - Class in opennlp.tools.cmdline.langdetect
  Generates a detailed report for the POS Tagger.
LanguageDetectorFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
  Creates a listener that will print to `System.err`
LanguageDetectorFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
LanguageDetectorME - Class in opennlp.tools.langdetect
  Implements a learnable `LanguageDetector`.
LanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.LanguageDetectorME
  Initializes an instance with a specific `LanguageDetectorModel`.
LanguageDetectorModel - Class in opennlp.tools.langdetect
  The `LanguageDetectorModel` is the model used by a learnable `LanguageDetector`.
LanguageDetectorModel(File) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
  Initializes a `LanguageDetectorModel` instance via a valid `File`.
LanguageDetectorModel(InputStream) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
  Initializes a `LanguageDetectorModel` instance via a valid `InputStream`.
LanguageDetectorModel(URL) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
  Initializes a `LanguageDetectorModel` instance via a valid `URL`.
LanguageDetectorModel(MaxentModel, Map<String, String>, LanguageDetectorFactory) - Constructor for class opennlp.tools.langdetect.LanguageDetectorModel
  Initializes a `LanguageDetectorModel` instance via given parameters.
LanguageDetectorModelLoader - Class in opennlp.tools.cmdline.langdetect
  Loads a `LanguageDetectorModel` for the command line tools.
LanguageDetectorModelLoader() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorModelLoader
LanguageDetectorSampleStream - Class in opennlp.tools.langdetect
  This class reads in string encoded `training samples`, parses them and outputs `LanguageSample` objects.
LanguageDetectorSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.langdetect.LanguageDetectorSampleStream
  Initializes a `instance`.
LanguageDetectorSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `lang detector sample streams`.
LanguageDetectorSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
LanguageDetectorTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
LanguageDetectorTrainerTool - Class in opennlp.tools.cmdline.langdetect
LanguageDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
LanguageModel - Interface in opennlp.tools.languagemodel
  A language model can calculate the probability p (between 0 and 1) of a certain `sequence of tokens`, given its underlying vocabulary.
LanguageParams - Interface in opennlp.tools.cmdline.params
languages() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns the value of the `languages` record component.
LanguageSample - Record Class in opennlp.tools.langdetect
  Holds a classified document and its `Language`.
LanguageSample(Language, CharSequence) - Constructor for record class opennlp.tools.langdetect.LanguageSample
  Creates an instance of a `LanguageSample` record class.
LanguageSampleStreamFactory<T,P> - Class in opennlp.tools.formats
  Stream factory for those streams which carry language.
LAST - Static variable in class opennlp.tools.namefind.BilouCodec
Leaf() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
LeipzigLanguageSampleStream - Class in opennlp.tools.formats.leipzig
LeipzigLanguageSampleStream(File, int, int) - Constructor for class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
  Initializes a `LeipzigLanguageSampleStream`.
LeipzigLanguageSampleStreamFactory - Class in opennlp.tools.formats.leipzig
  Note: Do not use this class, internal use only!
LeipzigLanguageSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.leipzig
LEMMA_NUMBER - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
LemmaEvaluationErrorListener - Class in opennlp.tools.cmdline.lemmatizer
  A default implementation of `EvaluationMonitor` that prints to an output stream.
LemmaEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
LemmaEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`
LemmaSample - Class in opennlp.tools.lemmatizer
  Represents a lemmatized sentence.
LemmaSample(String[], String[], String[]) - Constructor for class opennlp.tools.lemmatizer.LemmaSample
  Initializes a `LemmaSample` instance with the given parameters.
LemmaSample(List<String>, List<String>, List<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSample
  Initializes a `LemmaSample` instance with the given parameters.
LemmaSampleEventStream - Class in opennlp.tools.lemmatizer
  Class for creating an event stream out of data files for training a probabilistic `Lemmatizer`.
LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleEventStream
  Creates a new event stream based on the specified data stream using a `LemmatizerContextGenerator`.
LemmaSampleSequenceStream - Class in opennlp.tools.lemmatizer
  A `SequenceStream` implementation encapsulating `samples`.
LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
LemmaSampleStream - Class in opennlp.tools.lemmatizer
  Reads data for training and testing the `Lemmatizer`.
LemmaSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.lemmatizer.LemmaSampleStream
  Initializes a `instance`.
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(String[], String[]) - Method in interface opennlp.tools.lemmatizer.Lemmatizer
  Generates lemmas for the word and postag.
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(List<String>, List<String>) - Method in interface opennlp.tools.lemmatizer.Lemmatizer
  Generates lemma tags for the word and postag.
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
Lemmatizer - Interface in opennlp.tools.lemmatizer
  The common interface for lemmatizers.
LEMMATIZER - Enum constant in enum class opennlp.tools.models.ModelType
LemmatizerContextGenerator - Interface in opennlp.tools.lemmatizer
  Interface for the context generator used for probabilistic `Lemmatizer`.
LemmatizerEvaluationMonitor - Interface in opennlp.tools.lemmatizer
  A marker interface for evaluating `lemmatizers`.
LemmatizerEvaluator - Class in opennlp.tools.lemmatizer
  The `LemmatizerEvaluator` measures the performance of the given `Lemmatizer` with the provided reference `samples`.
LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Constructor for class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Initializes a `LemmatizerEvaluator` instance with the given `Lemmatizer`.
LemmatizerEvaluatorTool - Class in opennlp.tools.cmdline.lemmatizer
  A default `LemmaSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
LemmatizerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
LemmatizerFactory - Class in opennlp.tools.lemmatizer
  The factory that provides `Lemmatizer` default implementation and resources.
LemmatizerFactory() - Constructor for class opennlp.tools.lemmatizer.LemmatizerFactory
  Instantiates a `LemmatizerFactory` that provides the default implementation of the resources.
LemmatizerFineGrainedReportListener - Class in opennlp.tools.cmdline.lemmatizer
  Generates a detailed report for the Lemmatizer.
LemmatizerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
  Creates a listener that will print to the configured `logger`.
LemmatizerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`
LemmatizerME - Class in opennlp.tools.lemmatizer
  A probabilistic `Lemmatizer` implementation.
LemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.LemmatizerME
  Initializes a `LemmatizerME` with the provided `model` and a default `beam size` of `3`.
LemmatizerMETool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerMETool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
LemmatizerModel - Class in opennlp.tools.lemmatizer
  The `LemmatizerModel` is the model used by a learnable `Lemmatizer`.
LemmatizerModel(File) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via a valid `File`.
LemmatizerModel(InputStream) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via a valid `InputStream`.
LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via given parameters.
LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via given parameters.
LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via given parameters.
LemmatizerModel(String, SequenceClassificationModel, Map<String, String>, LemmatizerFactory) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via given parameters.
LemmatizerModel(URL) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via a valid `URL`.
LemmatizerModel(Path) - Constructor for class opennlp.tools.lemmatizer.LemmatizerModel
  Initializes a `LemmatizerModel` instance via a valid `Path`.
LemmatizerModelLoader - Class in opennlp.tools.cmdline.lemmatizer
  Loads a `LemmatizerModel` for the command line tools.
LemmatizerModelLoader() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerModelLoader
LemmatizerSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `LemmaSampleStream`s.
LemmatizerSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
LemmatizerTrainerTool - Class in opennlp.tools.cmdline.lemmatizer
LemmatizerTrainerTool() - Constructor for class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
length() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns the value of the `length` record component.
length() - Method in class opennlp.tools.util.Span
LetsmtDocument - Class in opennlp.tools.formats.letsmt
  A structure to hold the letsmt document.
LetsmtDocument.LetsmtDocumentHandler - Class in opennlp.tools.formats.letsmt
  A `content handler` to receive and process SAX events.
LetsmtDocument.LetsmtSentence - Class in opennlp.tools.formats.letsmt
LetsmtDocumentHandler() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
LetsmtSentence() - Constructor for class opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
LetsmtSentenceStreamFactory - Class in opennlp.tools.formats.letsmt
  Note: Do not use this class, internal use only!
LetsmtSentenceStreamFactory.Parameters - Interface in opennlp.tools.formats.letsmt
levenshteinDistance(String, String) - Static method in class opennlp.tools.util.StringUtil
  Computes the Levenshtein distance of two strings in a matrix.
LineSearch - Class in opennlp.tools.ml.maxent.quasinewton
  Performs line search to find a minimum.
LineSearch() - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch
LineSearch.LineSearchResult - Class in opennlp.tools.ml.maxent.quasinewton
  Represents a `LineSearch` result encapsulating the relevant data at a point in time during computation.
LineSearchResult(double, double, double, double[], double[], double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initializes a `LineSearch.LineSearchResult` object with the specified parameters.
LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Initializes a `LineSearch.LineSearchResult` object with the specified parameters.
LinkedSpan<T extends BaseLink> - Class in opennlp.tools.entitylinker
  A default, extended `Span` that holds additional information about a `Span`.
LinkedSpan(ArrayList<T>, int, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
  Initializes a new `LinkedSpan`.
LinkedSpan(ArrayList<T>, int, int, String) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
  Initializes a new `LinkedSpan`.
LinkedSpan(ArrayList<T>, int, int, String, double) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
  Initializes a new `LinkedSpan`.
LinkedSpan(ArrayList<T>, Span, int) - Constructor for class opennlp.tools.entitylinker.LinkedSpan
  Initializes a new `LinkedSpan` via an existing `Span` which is shifted by the specified `offset`.
loadResources(File, File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
  Load the resources, such as dictionaries, by reading the feature xml descriptor and looking into the directory passed as argument.
LOG_LIKELIHOOD - Enum constant in enum class opennlp.tools.monitoring.TrainingMeasure
LOG_LIKELIHOOD_THRESHOLD_DEFAULT - Static variable in class opennlp.tools.ml.maxent.GISTrainer
LOG_LIKELIHOOD_THRESHOLD_PARAM - Static variable in class opennlp.tools.ml.maxent.GISTrainer
LogLikelihoodThresholdBreached - Class in opennlp.tools.monitoring
  A `StopCriteria` implementation to identify whether the difference between the log likelihood of current and previous iteration is under the defined threshold.
LogLikelihoodThresholdBreached(TrainingParameters) - Constructor for class opennlp.tools.monitoring.LogLikelihoodThresholdBreached
LogPrintStream - Class in opennlp.tools.log
  This class serves as an adapter for a `Logger` used within a `PrintStream`.
LogPrintStream(Logger) - Constructor for class opennlp.tools.log.LogPrintStream
  Creates a `LogPrintStream` for the given `Logger`.
LogPrintStream(Logger, Level) - Constructor for class opennlp.tools.log.LogPrintStream
  Creates a `LogPrintStream` for the given `Logger`, which logs at the specified `level`.
logPrior(double[], int[]) - Method in interface opennlp.tools.ml.model.Prior
  Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], int[], float[]) - Method in interface opennlp.tools.ml.model.Prior
  Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
logPrior(double[], Context[], float[]) - Method in interface opennlp.tools.ml.model.Prior
  Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], Context[], float[]) - Method in class opennlp.tools.ml.model.UniformPrior
LogProbabilities<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbabilities() - Constructor for class opennlp.tools.ml.naivebayes.LogProbabilities
LogProbability<T> - Class in opennlp.tools.ml.naivebayes
  A class implementing the logarithmic `Probability` for a label.
LogProbability(T) - Constructor for class opennlp.tools.ml.naivebayes.LogProbability
logSumOfExps(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Computes `\log(\sum_{i=1}^n e^{x_i})` using a maximum-element trick to avoid arithmetic overflow.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.BrownCluster
  Check if a token is in the Brown:paths, token map.
lookupToken(String) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary

## M

M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  The default number of Hessian updates to store is `15`.
M_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  The default number of Hessian updates to store is `15`.
M_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MarkableFileInputStreamFactory - Class in opennlp.tools.util
  A factory that creates `MarkableFileInputStream` from a `File`
MarkableFileInputStreamFactory(File) - Constructor for class opennlp.tools.util.MarkableFileInputStreamFactory
  Initializes a `MarkableFileInputStreamFactory`.
Masc - Interface in opennlp.tools.formats.masc
  A simple marker interface for classes that support or refer to the `Masc.MASC_FORMAT`.
MASC_FORMAT - Static variable in interface opennlp.tools.formats.masc.Masc
MascDocument - Class in opennlp.tools.formats.masc
MascDocument(String, List<MascSentence>) - Constructor for class opennlp.tools.formats.masc.MascDocument
MascDocumentStream - Class in opennlp.tools.formats.masc
MascDocumentStream(File) - Constructor for class opennlp.tools.formats.masc.MascDocumentStream
MascDocumentStream(File, boolean, FileFilter) - Constructor for class opennlp.tools.formats.masc.MascDocumentStream
  Creates a MascDocumentStream to read the documents from a given directory.
MascNamedEntityParser - Class in opennlp.tools.formats.masc
  A class to process the MASC Named entity stand-off annotation file
MascNamedEntityParser() - Constructor for class opennlp.tools.formats.masc.MascNamedEntityParser
MascNamedEntitySampleStream - Class in opennlp.tools.formats.masc
MascNamedEntitySampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascNamedEntitySampleStream
  Initializes `MascNamedEntitySampleStream` from a stream of `documents`.
MascNamedEntitySampleStreamFactory - Class in opennlp.tools.formats.masc
  Note: Do not use this class, internal use only!
MascNamedEntitySampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc
MascPennTagParser - Class in opennlp.tools.formats.masc
  A class for parsing MASC's Penn tagging/tokenization stand-off annotation
MascPennTagParser() - Constructor for class opennlp.tools.formats.masc.MascPennTagParser
MascPOSSampleStream - Class in opennlp.tools.formats.masc
MascPOSSampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascPOSSampleStream
  Initializes `MascPOSSampleStream` from a stream of `documents`.
MascPOSSampleStreamFactory - Class in opennlp.tools.formats.masc
  Note: Do not use this class, internal use only!
MascPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc
MascSentence - Class in opennlp.tools.formats.masc
MascSentence(int, int, String, List<MascWord>, List<MascWord>) - Constructor for class opennlp.tools.formats.masc.MascSentence
  Initializes a `MascSentence` containing its associated text and quarks
MascSentenceSampleStream - Class in opennlp.tools.formats.masc
MascSentenceSampleStream(ObjectStream<MascDocument>, int) - Constructor for class opennlp.tools.formats.masc.MascSentenceSampleStream
MascSentenceSampleStreamFactory - Class in opennlp.tools.formats.masc
  Note: Do not use this class, internal use only!
MascSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc
MascToken - Class in opennlp.tools.formats.masc
  A specialized `Span` to express tokens in `documents`.
MascToken(int, int, int, String, String, MascWord[]) - Constructor for class opennlp.tools.formats.masc.MascToken
  Initializes a `MascToken` which may combine multiple quarks.
MascTokenSampleStream - Class in opennlp.tools.formats.masc
MascTokenSampleStream(ObjectStream<MascDocument>) - Constructor for class opennlp.tools.formats.masc.MascTokenSampleStream
  Initializes a `MascTokenSampleStream`.
MascTokenSampleStreamFactory - Class in opennlp.tools.formats.masc
  Note: Do not use this class, internal use only!
MascTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.masc
MascWord - Class in opennlp.tools.formats.masc
MascWord(int, int, int) - Constructor for class opennlp.tools.formats.masc.MascWord
  Holds one of MASC's quarks, that is: basic-level units (may be sub-word).
max(double[]) - Static method in class opennlp.tools.ml.ArrayMath
  Finds the maximum element in a vector `x`.
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  The default maximum number of function evaluations is `30,000`.
MAX_FCT_EVAL_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  The default maximum number of function evaluations is `30,000`.
MAX_FCT_EVAL_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
Maxent - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
MAXENT - Enum constant in enum class opennlp.tools.util.model.ModelType
MAXENT_QN_VALUE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_VALUE - Static variable in class opennlp.tools.ml.maxent.GISTrainer
MaxentModel - Interface in opennlp.tools.ml.model
  Interface for maximum entropy models.
MaxentQn - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
mean() - Method in class opennlp.tools.util.eval.Mean
Mean - Class in opennlp.tools.util.eval
  Calculates the arithmetic mean of values added with the `Mean.add(double)` method.
Mean() - Constructor for class opennlp.tools.util.eval.Mean
MERGE_BOTH - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  The current token should be attached to the string on the left side, as well as to the start token on the right side.
MERGE_TO_LEFT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  The current token should be attached to the string on the left side.
MERGE_TO_RIGHT - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  The current token should be attached to the start token on the right side.
mergeInto(FMeasure) - Method in class opennlp.tools.util.eval.FMeasure
  Merge results into `metric`.
mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser
META_LABEL_FINAL - Static variable in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
metadata() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Returns the value of the `metadata` record component.
MGRS - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
MIN_STEP_SIZE - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  The minimum step size: `1e-10`.
minimize(Function) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Finds the parameters that minimize the objective function.
misclassified(ChunkSample, ChunkSample) - Method in class opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
misclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
misclassified(DocumentSample, DocumentSample) - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
misclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
misclassified(LanguageSample, LanguageSample) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
misclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
misclassified(LemmaSample, LemmaSample) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
misclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
misclassified(NameSample, NameSample) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
misclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
misclassified(POSSample, POSSample) - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
misclassified(SentenceSample, SentenceSample) - Method in class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
misclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
misclassified(TokenSample, TokenSample) - Method in class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
misclassified(T, T) - Method in interface opennlp.tools.util.eval.EvaluationMonitor
ModelParameterChunker - Class in opennlp.tools.ml.model
  A helper class that handles Strings with more than 64k (65535 bytes) in length.
ModelType - Enum Class in opennlp.tools.models
  A model type to pattern enumeration.
ModelType - Enum Class in opennlp.tools.util.model
  Enumeration of supported model types.
ModelUtil - Class in opennlp.tools.util.model
  Utility class for handling of `models`.
MosesSentenceSampleStream - Class in opennlp.tools.formats.moses
  Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair.
MosesSentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.moses.MosesSentenceSampleStream
  Initializes a `MosesSentenceSampleStream`.
MosesSentenceSampleStreamFactory - Class in opennlp.tools.formats.moses
  Factory producing OpenNLP `MosesSentenceSampleStream` objects.
MosesSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.moses
MOVE_BOTH - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Attaches the token to the token on the left and right sides.
MOVE_LEFT - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Attaches the token to the token on the left side.
MOVE_RIGHT - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Attaches the token to the token on the right side.
Muc6NameSampleStreamFactory - Class in opennlp.tools.formats.muc
Muc6NameSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.muc
MucNameContentHandler - Class in opennlp.tools.formats.muc
MucNameContentHandler(Tokenizer, List<NameSample>) - Constructor for class opennlp.tools.formats.muc.MucNameContentHandler
  Initializes a `MucNameContentHandler`.
MucNameSampleStream - Class in opennlp.tools.formats.muc
MutableContext - Class in opennlp.tools.ml.model
  An extension of `Context` used to store parameters or expected values associated with this context which can be updated or assigned.
MutableContext(int[], double[]) - Constructor for class opennlp.tools.ml.model.MutableContext
  Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
MutableInt - Class in opennlp.tools.util
  This is a non-thread safe mutable int.
MutableInt(int) - Constructor for class opennlp.tools.util.MutableInt
MutableTagDictionary - Interface in opennlp.tools.postag
  Interface that allows `TagDictionary` entries to be added and removed.

## N

NAIVE_BAYES_VALUE - Static variable in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayes - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
NaiveBayesEvalParameters - Class in opennlp.tools.ml.naivebayes
  Specialized `parameters` for the evaluation of a naive bayes classifier
NaiveBayesEvalParameters(Context[], int, double[], long) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
NaiveBayesModel - Class in opennlp.tools.ml.naivebayes
  A `MaxentModel` implementation of the multinomial Naive Bayes classifier model.
NaiveBayesModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModel
  Initializes a `NaiveBayesModel`.
NaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
  The base class for readers of `models`.
NaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
  Initializes a `NaiveBayesModelReader` via a `File`.
NaiveBayesModelReader(DataReader) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelReader
  Initializes a `NaiveBayesModelReader` via a `DataReader`.
NaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes
  The base class for `NaiveBayesModel` writers.
NaiveBayesModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter
  Initializes a `NaiveBayesModelWriter` for a `NaiveBayes model`.
NaiveBayesTrainer - Class in opennlp.tools.ml.naivebayes
  Trains `models` using the combination of EM algorithm and Naive Bayes classifier which is described in:
NaiveBayesTrainer() - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
  Instantiates a `NaiveBayesTrainer` with default training parameters.
NaiveBayesTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
  Instantiates a `NaiveBayesTrainer` with specific `TrainingParameters`.
name - Variable in class opennlp.tools.ml.model.ComparablePredicate
NAME_FINDER - Enum constant in enum class opennlp.tools.models.ModelType
NameContextGenerator - Interface in opennlp.tools.namefind
  Interface for generating the context for a `name finder` by specifying a set of feature generators.
NameEvaluationErrorListener - Class in opennlp.tools.cmdline.namefind
  A default implementation of `EvaluationMonitor` that prints to an output stream.
NameEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
NameEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`.
NameFinderCensus90NameStream - Class in opennlp.tools.formats
  This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
NameFinderCensus90NameStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream
  Initializes a `NameFinderCensus90NameStream` via an `InputStreamFactory` and a `Charset`.
NameFinderCensus90NameStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.NameFinderCensus90NameStream
  Initializes a `NameFinderCensus90NameStream` via `ObjectStream<String>`.
NameFinderEventStream - Class in opennlp.tools.namefind
  Class for creating an event stream out of data files for training an `TokenNameFinder`.
NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameFinderEventStream
  Initializes a `NameFinderEventStream` using the specified `dataStream` and `NameContextGenerator`.
NameFinderME - Class in opennlp.tools.namefind
  A maximum-entropy-based `name finder` implementation.
NameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.NameFinderME
  Initializes a `NameFinderME` with a `TokenNameFinderModel`.
NameFinderSequenceValidator - Class in opennlp.tools.namefind
  The default name finder `SequenceValidator` implementation.
NameFinderSequenceValidator() - Constructor for class opennlp.tools.namefind.NameFinderSequenceValidator
NameSample - Class in opennlp.tools.namefind
  Encapsulates names for a single unit of text.
NameSample(String[], Span[], boolean) - Constructor for class opennlp.tools.namefind.NameSample
  Initializes a `NameSample` instance with given parameters.
NameSample(String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample
  Initializes a `NameSample` instance with given parameters.
NameSample(String, String[], Span[], String[][], boolean) - Constructor for class opennlp.tools.namefind.NameSample
  Initializes a `NameSample` instance with given parameters.
NameSampleCountersStream - Class in opennlp.tools.cmdline.namefind
  Counts tokens, sentences and names by type.
NameSampleDataStream - Class in opennlp.tools.namefind
  The `NameSampleDataStream` class converts tagged tokens provided by a `DataStream` to `NameSample` objects.
NameSampleDataStream(ObjectStream<String>) - Constructor for class opennlp.tools.namefind.NameSampleDataStream
  Initializes a `NameSampleDataStream` with given `psi` samples.
NameSampleDataStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `NameSampleDataStream`s.
NameSampleDataStreamFactory.Parameters - Interface in opennlp.tools.formats
NameSampleSequenceStream - Class in opennlp.tools.namefind
  A `SequenceStream` implementation encapsulating `samples`.
NameSampleSequenceStream(ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
  Initializes a `NameSampleSequenceStream` with given `psi` samples.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
  Initializes a `NameSampleSequenceStream` with given `psi` samples and an `feature generator`.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
  Initializes a `NameSampleSequenceStream` with given `psi` samples and an `feature generator`.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
  Initializes a `NameSampleSequenceStream` with given `psi` samples and an `feature generator`.
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
  Initializes a `NameSampleSequenceStream` with given `psi` samples and an `feature generator`.
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class opennlp.tools.namefind.NameSampleSequenceStream
  Initializes a `NameSampleSequenceStream` with given `psi` samples and an `feature generator`.
NameSampleTypeFilter - Class in opennlp.tools.namefind
  A `stream` which removes `name samples` which do not have a certain type.
NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
  Initializes a `NameSampleTypeFilter`.
NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Constructor for class opennlp.tools.namefind.NameSampleTypeFilter
  Initializes a `NameSampleTypeFilter`.
NameToSentenceSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Constructor for class opennlp.tools.formats.convert.NameToSentenceSampleStream
  Initializes a `NameToSentenceSampleStream`.
NameToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToTokenSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Constructor for class opennlp.tools.formats.convert.NameToTokenSampleStream
  Initializes a `NameToTokenSampleStream`.
NameToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
NameToTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert
NegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton
  Evaluates negative log-likelihood and its gradient from `DataIndexer`.
NegLogLikelihood(DataIndexer) - Constructor for class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
NewlineSentenceDetector - Class in opennlp.tools.sentdetect
  The Newline `SentenceDetector` assumes that sentences are line delimited and recognizes one sentence per non-empty line.
NewlineSentenceDetector() - Constructor for class opennlp.tools.sentdetect.NewlineSentenceDetector
next() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
next() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
  Retrieves the next training and test partitions.
next() - Method in class opennlp.tools.util.ReverseListIterator
NEXT_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
nextIteration(int) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
nextToken() - Method in interface opennlp.tools.ml.maxent.DataStream
  Returns the next slice of data held in this `DataStream`.
NGramCharModel - Class in opennlp.tools.ngram
  The `NGramCharModel` can be used to create character ngrams.
NGramCharModel() - Constructor for class opennlp.tools.ngram.NGramCharModel
  Initializes an empty instance.
NGramFeatureGenerator - Class in opennlp.tools.doccat
  Generates ngram features for a document.
NGramFeatureGenerator() - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator
  Instantiates an `NGramFeatureGenerator` instance with a Bi grams config.
NGramFeatureGenerator(int, int) - Constructor for class opennlp.tools.doccat.NGramFeatureGenerator
  Instantiates an `NGramFeatureGenerator` instance with configurable ngram parameters.
NGramGenerator - Class in opennlp.tools.ngram
  Generates an nGram, via an optional separator, and returns the grams as a list of strings
NGramGenerator() - Constructor for class opennlp.tools.ngram.NGramGenerator
NGramLanguageModel - Class in opennlp.tools.languagemodel
  A `LanguageModel` based on a `NGramModel` using Stupid Backoff to get the probabilities of the ngrams.
NGramLanguageModel() - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
  Initializes an `NGramLanguageModel` with `NGramLanguageModel.DEFAULT_N`.
NGramLanguageModel(int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
  Initializes an `NGramLanguageModel` with the given `n` for the ngram size.
NGramLanguageModel(InputStream) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
  Initializes a `NGramLanguageModel` instance via a valid `InputStream`.
NGramLanguageModel(InputStream, int) - Constructor for class opennlp.tools.languagemodel.NGramLanguageModel
  Initializes a `NGramLanguageModel` instance via a valid `InputStream`.
NGramLanguageModelTool - Class in opennlp.tools.cmdline.languagemodel
  Command line tool for `NGramLanguageModel`.
NGramLanguageModelTool() - Constructor for class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
NGramModel - Class in opennlp.tools.ngram
  The `NGramModel` can be used to crate ngrams and character ngrams.
NGramModel() - Constructor for class opennlp.tools.ngram.NGramModel
  Instantiates an empty `NGramModel` instance.
NGramModel(InputStream) - Constructor for class opennlp.tools.ngram.NGramModel
  Instantiates a `NGramModel` via an `InputStream` reference.
NGramUtils - Class in opennlp.tools.ngram
  Utility class for ngrams.
NGramUtils() - Constructor for class opennlp.tools.ngram.NGramUtils
nicePrint() - Method in class opennlp.tools.chunker.ChunkSample
  Creates a nice to read string for the phrases formatted as following:
  `[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.`
NKJPSegmentationDocument - Class in opennlp.tools.formats.nkjp
NKJPSegmentationDocument.Pointer - Class in opennlp.tools.formats.nkjp
NKJPSentenceSampleStream - Class in opennlp.tools.formats.nkjp
NKJPSentenceSampleStreamFactory - Class in opennlp.tools.formats.nkjp
  Note: Do not use this class, internal use only!
NKJPSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.nkjp
NKJPTextDocument - Class in opennlp.tools.formats.nkjp
  The National corpus of Polish (NKJP) format.
NLD - Enum constant in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
NO_OPERATION - Enum constant in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  Do not perform a merge operation for this token, but is possible that another token can be attached to the left or right side of this one.
NO_SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME
  Constant indicates no sentence split.
NO_SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME
  Constant indicates no token split.
Node() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
NON_ATTACH - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a node should not be attached to another node.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
normalize(CharSequence) - Method in interface opennlp.tools.util.normalizer.CharSequenceNormalizer
  Normalizes a sequence of characters.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
NORWEGIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
norwegianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
norwegianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.norwegianStemmer
NUM_ITERATIONS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  By default the number of iterations is `100`.
NumberCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  A `NumberCharSequenceNormalizer` implementation that normalizes text in terms of numbers.
NumberCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
numberOfGrams() - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves the total count of all Ngrams.
numberOfGrams() - Method in class opennlp.tools.ngram.NGramModel
  Retrieves the total count of all Ngrams.

## O

ObjectDataReader - Class in opennlp.tools.ml.model
  A `DataReader` implementation based on `ObjectInputStream`.
ObjectDataReader(ObjectInputStream) - Constructor for class opennlp.tools.ml.model.ObjectDataReader
  Instantiates an `ObjectDataReader`.
ObjectStream<T> - Interface in opennlp.tools.util
  Reads `objects` from a stream.
ObjectStreamUtils - Class in opennlp.tools.util
ObjectStreamUtils() - Constructor for class opennlp.tools.util.ObjectStreamUtils
OnePassDataIndexer - Class in opennlp.tools.ml.model
  A `DataIndexer` for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
OnePassDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassDataIndexer
OnePassRealValueDataIndexer - Class in opennlp.tools.ml.model
  A `DataIndexer` for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.
OnePassRealValueDataIndexer() - Constructor for class opennlp.tools.ml.model.OnePassRealValueDataIndexer
OntoNotesFormatParameters - Interface in opennlp.tools.formats.ontonotes
OntoNotesNameSampleStream - Class in opennlp.tools.formats.ontonotes
  Name Sample Stream parser for the OntoNotes 4.0 named entity files.
OntoNotesNameSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
  Initializes a `OntoNotesNameSampleStream`.
OntoNotesNameSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
  Note: Do not use this class, internal use only!
OntoNotesNameSampleStreamFactory() - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
OntoNotesParseSampleStream - Class in opennlp.tools.formats.ontonotes
OntoNotesParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
  Initializes a `OntoNotesParseSampleStream`.
OntoNotesParseSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
  Note: Do not use this class, internal use only!
OntoNotesPOSSampleStreamFactory - Class in opennlp.tools.formats.ontonotes
  Note: Do not use this class, internal use only!
openFeatureGeneratorBytes(File) - Static method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
opennlp.tools.chunker - package opennlp.tools.chunker
  Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.cmdline.chunker - package opennlp.tools.cmdline.chunker
opennlp.tools.cmdline.dictionary - package opennlp.tools.cmdline.dictionary
opennlp.tools.cmdline.doccat - package opennlp.tools.cmdline.doccat
opennlp.tools.cmdline.entitylinker - package opennlp.tools.cmdline.entitylinker
opennlp.tools.cmdline.langdetect - package opennlp.tools.cmdline.langdetect
opennlp.tools.cmdline.languagemodel - package opennlp.tools.cmdline.languagemodel
opennlp.tools.cmdline.lemmatizer - package opennlp.tools.cmdline.lemmatizer
  Classes giving access to the opennlp.tools.lemmatizer functionalities.
opennlp.tools.cmdline.namefind - package opennlp.tools.cmdline.namefind
opennlp.tools.cmdline.params - package opennlp.tools.cmdline.params
opennlp.tools.cmdline.parser - package opennlp.tools.cmdline.parser
opennlp.tools.cmdline.postag - package opennlp.tools.cmdline.postag
opennlp.tools.cmdline.sentdetect - package opennlp.tools.cmdline.sentdetect
opennlp.tools.cmdline.tokenizer - package opennlp.tools.cmdline.tokenizer
opennlp.tools.commons - package opennlp.tools.commons
  Package related to common interfaces used in different contexts.
opennlp.tools.dictionary - package opennlp.tools.dictionary
  Package related to parsing and storing dictionaries.
opennlp.tools.dictionary.serializer - package opennlp.tools.dictionary.serializer
opennlp.tools.doccat - package opennlp.tools.doccat
  Package for classifying a document into a category.
opennlp.tools.entitylinker - package opennlp.tools.entitylinker
  Package related to linking entities to external data sources.
opennlp.tools.formats - package opennlp.tools.formats
  Experimental package related to converting various corpora to OpenNLP Format.
opennlp.tools.formats.ad - package opennlp.tools.formats.ad
  Experimental package related to the `Arvores Deitadas corpus` format.
opennlp.tools.formats.brat - package opennlp.tools.formats.brat
  Experimental package related to the corpus format used by the "brat rapid annotation tool" (brat).
opennlp.tools.formats.conllu - package opennlp.tools.formats.conllu
  Experimental package related to the CoNNL-U format.
opennlp.tools.formats.convert - package opennlp.tools.formats.convert
opennlp.tools.formats.frenchtreebank - package opennlp.tools.formats.frenchtreebank
  Experimental package related to the French Treebank format.
opennlp.tools.formats.irishsentencebank - package opennlp.tools.formats.irishsentencebank
  Experimental package related to the Irish Sentence Bank format.
opennlp.tools.formats.leipzig - package opennlp.tools.formats.leipzig
  Experimental package related to the `Leipzig` corpus format.
opennlp.tools.formats.letsmt - package opennlp.tools.formats.letsmt
  Experimental package related to the `letsmt` corpus format.
opennlp.tools.formats.masc - package opennlp.tools.formats.masc
  Experimental package related to the `MASC` corpus format.
opennlp.tools.formats.moses - package opennlp.tools.formats.moses
opennlp.tools.formats.muc - package opennlp.tools.formats.muc
  Experimental package related to the `MUC` corpus format.
opennlp.tools.formats.nkjp - package opennlp.tools.formats.nkjp
  Experimental package related to the National corpus of Polish `NKJP` format.
opennlp.tools.formats.ontonotes - package opennlp.tools.formats.ontonotes
  Experimental package related to the OntoNotes 4.0 format.
opennlp.tools.langdetect - package opennlp.tools.langdetect
  Package related to predicting languages from samples of text.
opennlp.tools.languagemodel - package opennlp.tools.languagemodel
  Package related to language models
opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer
  Package related to the lemmatizer functionality.
opennlp.tools.log - package opennlp.tools.log
  Package contains a `PrintStream` adapter for internal use only.
opennlp.tools.ml - package opennlp.tools.ml
  Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
opennlp.tools.ml.maxent - package opennlp.tools.ml.maxent
  Package related to ML by means of the Maximum Entropy (ME) algorithm.
opennlp.tools.ml.maxent.io - package opennlp.tools.ml.maxent.io
  Package related to the I/O functionality of the maxent package including reading and writing models in several formats.
opennlp.tools.ml.maxent.quasinewton - package opennlp.tools.ml.maxent.quasinewton
  Package related to ML by means of the Quasi Newton (QN) algorithm.
opennlp.tools.ml.model - package opennlp.tools.ml.model
  Package related to ML models and feature selection techniques.
opennlp.tools.ml.naivebayes - package opennlp.tools.ml.naivebayes
  Package related to ML by means of the Naive Bayes algorithm.
opennlp.tools.ml.perceptron - package opennlp.tools.ml.perceptron
  Package related to ML by means of the perceptron algorithm.
opennlp.tools.models - package opennlp.tools.models
opennlp.tools.monitoring - package opennlp.tools.monitoring
opennlp.tools.namefind - package opennlp.tools.namefind
  Package related to finding proper names and numeric amounts.
opennlp.tools.ngram - package opennlp.tools.ngram
  Package related to computing and storing n-gram frequencies.
opennlp.tools.parser - package opennlp.tools.parser
  Package containing common code for performing full syntactic parsing.
opennlp.tools.parser.chunking - package opennlp.tools.parser.chunking
  Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
opennlp.tools.parser.lang.en - package opennlp.tools.parser.lang.en
opennlp.tools.parser.lang.es - package opennlp.tools.parser.lang.es
opennlp.tools.parser.treeinsert - package opennlp.tools.parser.treeinsert
  Package containing experimental code for performing full syntactic parsing using attachment decisions.
opennlp.tools.postag - package opennlp.tools.postag
  Package related to part-of-speech tagging.
opennlp.tools.sentdetect - package opennlp.tools.sentdetect
  Package related to identifying sentence boundaries.
opennlp.tools.sentdetect.lang - package opennlp.tools.sentdetect.lang
opennlp.tools.sentdetect.lang.th - package opennlp.tools.sentdetect.lang.th
  Package related to the processing of Thai data.
opennlp.tools.stemmer - package opennlp.tools.stemmer
opennlp.tools.stemmer.snowball - package opennlp.tools.stemmer.snowball
opennlp.tools.tokenize - package opennlp.tools.tokenize
  Contains classes related to finding token or words in a string.
opennlp.tools.tokenize.lang - package opennlp.tools.tokenize.lang
opennlp.tools.tokenize.lang.en - package opennlp.tools.tokenize.lang.en
opennlp.tools.util - package opennlp.tools.util
  Package containing utility data structures and algorithms used by multiple other packages.
opennlp.tools.util.eval - package opennlp.tools.util.eval
opennlp.tools.util.ext - package opennlp.tools.util.ext
  Package containing extension loading code.
opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen
  This package contains classes for generating sequence features.
opennlp.tools.util.java - package opennlp.tools.util.java
opennlp.tools.util.jvm - package opennlp.tools.util.jvm
opennlp.tools.util.model - package opennlp.tools.util.model
opennlp.tools.util.normalizer - package opennlp.tools.util.normalizer
opennlp.tools.util.wordvector - package opennlp.tools.util.wordvector
OTHER - Static variable in class opennlp.tools.formats.ad.ADChunkSampleStream
OTHER - Static variable in class opennlp.tools.namefind.BilouCodec
OTHER - Static variable in class opennlp.tools.namefind.BioCodec
OTHER - Static variable in class opennlp.tools.namefind.NameFinderME
OTHER - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome for token which is not contained in a basal constituent.
outcome - Variable in class opennlp.tools.ml.model.ComparableEvent
OutcomePriorFeatureGenerator - Class in opennlp.tools.util.featuregen
  The definition feature maps the underlying distribution of outcomes.
OutcomePriorFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
outcomes - Variable in class opennlp.tools.ml.model.ComparablePredicate

## P

ParagraphStream - Class in opennlp.tools.util
  A `FilterObjectStream` which merges text lines into paragraphs.
ParagraphStream(ObjectStream<String>) - Constructor for class opennlp.tools.util.ParagraphStream
  Initializes an `FilterObjectStream`.
ParallelNegLogLikelihood - Class in opennlp.tools.ml.maxent.quasinewton
  Evaluates `negative log-likelihood` and its gradient in parallel.
ParallelNegLogLikelihood(DataIndexer, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
params - Variable in class opennlp.tools.ml.model.ComparablePredicate
parse(File) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
  Parses a given `annConfigFile` into a `AnnotationConfiguration`.
parse(InputStream) - Static method in class opennlp.tools.formats.brat.AnnotationConfiguration
  Parses a given `annConfigFile` into a `AnnotationConfiguration`.
parse(InputStream) - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
  Parses the data provided via an `InputStream` into a `IrishSentenceBankDocument`.
parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument
parse(InputStream) - Static method in class opennlp.tools.formats.nkjp.NKJPTextDocument
parse(InputStream) - Static method in class opennlp.tools.util.wordvector.Glove
  Parses a glove vector plain text file.
parse(Reader, SgmlParser.ContentHandler) - Method in class opennlp.tools.formats.muc.SgmlParser
  Parses an SGML document available via the input in `Reader`.
parse(String) - Static method in enum class opennlp.tools.parser.ParserType
parse(String) - Static method in class opennlp.tools.postag.POSSample
  Parses a `sentenceString`.
parse(String) - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
parse(String) - Static method in class opennlp.tools.util.Version
  Return a new `Version` initialized to the value represented by the specified `String`
parse(String, boolean) - Static method in class opennlp.tools.namefind.NameSample
  Parses given input into a `NameSample`.
parse(String, int, boolean, boolean) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
  Parses a sentence string into a `ADSentenceStream.Sentence`.
parse(String, String) - Static method in class opennlp.tools.tokenize.TokenSample
  Parses a string sample.
parse(String, String, boolean) - Static method in class opennlp.tools.namefind.NameSample
  Parses given input into a `NameSample`.
parse(BratDocument) - Method in class opennlp.tools.formats.brat.BratDocumentParser
parse(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
parse(Parse) - Method in interface opennlp.tools.parser.Parser
  Returns a `Parse` for the specified `Parse` of `tokens`.
parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser
parse(Parse, int) - Method in interface opennlp.tools.parser.Parser
  Returns the specified number of parses or fewer for the specified tokens.
Parse - Class in opennlp.tools.parser
  Data structure for holding parse constituents.
Parse(String, Span, String, double, int) - Constructor for class opennlp.tools.parser.Parse
  Initializes a `node` for this specified `text` and `span` of the specified `type` with probability `p` and the head `index`.
Parse(String, Span, String, double, Parse) - Constructor for class opennlp.tools.parser.Parse
  Initializes a `node` for this specified `text` and `span` of the specified `type` with probability `p` and the head `index`.
parseContexts(String[]) - Static method in class opennlp.tools.ml.model.RealValueFileEventStream
  Parses the specified `contexts` and re-populates context array with features and returns the values for these features.
parseDocument(String, InputStream, InputStream, InputStream, InputStream, InputStream) - Static method in class opennlp.tools.formats.masc.MascDocument
  Initializes a `MascDocument` with all the stand-off annotations translated into the internal structure.
parseDocument(AnnotationConfiguration, String, InputStream, InputStream) - Static method in class opennlp.tools.formats.brat.BratDocument
parseLine(String, Parser, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
parseLine(String, Parser, Tokenizer, int) - Static method in class opennlp.tools.cmdline.parser.ParserTool
parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary
  Reads a `Dictionary` which has one entry per line.
parseParse(String) - Static method in class opennlp.tools.parser.Parse
  Parses the specified tree-bank style parse string and return a `Parse` structure for that string.
parseParse(String, GapLabeler) - Static method in class opennlp.tools.parser.Parse
  Parses the specified tree-bank style `Parse` string and return a `Parse` structure for that string.
Parser - Class in opennlp.tools.parser.chunking
  A shift reduce style `Parser` implementation based on Adwait Ratnaparkhi's 1998 thesis.
Parser - Class in opennlp.tools.parser.treeinsert
  A built-attach `Parser` implementation.
Parser - Interface in opennlp.tools.parser
  Defines common methods for full-syntactic parsers.
Parser(ParserModel) - Constructor for class opennlp.tools.parser.chunking.Parser
  Instantiates a `Parser` via a given `model`.
Parser(ParserModel) - Constructor for class opennlp.tools.parser.treeinsert.Parser
  Instantiates a `Parser` via a given `model`.
Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.chunking.Parser
  Instantiates a `Parser` via a given `model` and other configuration parameters.
Parser(ParserModel, int, double) - Constructor for class opennlp.tools.parser.treeinsert.Parser
  Instantiates a `Parser` via a given `model` and other configuration parameters.
PARSER - Enum constant in enum class opennlp.tools.models.ModelType
ParserChunkerFactory - Class in opennlp.tools.parser
ParserChunkerFactory() - Constructor for class opennlp.tools.parser.ParserChunkerFactory
ParserChunkerSequenceValidator - Class in opennlp.tools.parser
  The parser chunker `SequenceValidator` implementation.
ParserChunkerSequenceValidator(String[]) - Constructor for class opennlp.tools.parser.ParserChunkerSequenceValidator
ParserConverterTool - Class in opennlp.tools.cmdline.parser
  Tool to convert multiple data formats into native OpenNLP parser format.
ParserConverterTool() - Constructor for class opennlp.tools.cmdline.parser.ParserConverterTool
ParserCrossValidator - Class in opennlp.tools.parser
  Cross validator for a `Parser`.
ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserCrossValidator
  Initializes a `ParserCrossValidator` instance via given parameters.
ParserEvaluationMonitor - Interface in opennlp.tools.parser
  A marker interface for evaluating `parsers`.
ParserEvaluator - Class in opennlp.tools.parser
  This implementation of `Evaluator<Parse>` behaves like `EVALB` with no exceptions, e.g, without removing punctuation tags, or equality between `ADVP` and `PRT`, as in COLLINS convention.
ParserEvaluator(Parser, ParserEvaluationMonitor...) - Constructor for class opennlp.tools.parser.ParserEvaluator
  Initializes a `ParserEvaluator` instance with the given `Parser`.
ParserEvaluatorTool - Class in opennlp.tools.cmdline.parser
  A default `Parse`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
ParserEvaluatorTool() - Constructor for class opennlp.tools.cmdline.parser.ParserEvaluatorTool
ParserEventStream - Class in opennlp.tools.parser.chunking
  Wrapper class for one of four `shift-reduce parser` event streams.
ParserEventStream - Class in opennlp.tools.parser.treeinsert
  Wrapper class for one of four `built-attach parser` event streams.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream
  Instantiates a `ParserEventStream` based on the specified data stream of the `type` using `head rules`.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream
  Instantiates a `ParserEventStream` based on the specified data stream of the `type` using `head rules`.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.chunking.ParserEventStream
  Instantiates a `ParserEventStream` based on the specified data stream of the `type` using `head rules`.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Constructor for class opennlp.tools.parser.treeinsert.ParserEventStream
  Instantiates a `ParserEventStream` based on the specified data stream of the `type` using `head rules`.
ParserEventTypeEnum - Enum Class in opennlp.tools.parser
  Enumeration of event types for a `Parser`.
ParserFactory - Class in opennlp.tools.parser
ParserModel - Class in opennlp.tools.parser
  This is the default `ParserModel` implementation.
ParserModel(File) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via a valid `File`.
ParserModel(InputStream) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via a valid `InputStream`.
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via given parameters.
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via given parameters.
ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via given parameters.
ParserModel(URL) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via a valid `URL`.
ParserModel(Path) - Constructor for class opennlp.tools.parser.ParserModel
  Initializes a `ParserModel` instance via a valid `Path`.
ParserModelLoader - Class in opennlp.tools.cmdline.parser
  Loads a `ParserModel` for the command line tools.
ParserModelLoader() - Constructor for class opennlp.tools.cmdline.parser.ParserModelLoader
ParserTool - Class in opennlp.tools.cmdline.parser
ParserTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTool
ParserTrainerTool - Class in opennlp.tools.cmdline.parser
ParserTrainerTool() - Constructor for class opennlp.tools.cmdline.parser.ParserTrainerTool
ParserType - Enum Class in opennlp.tools.parser
  Enumeration of supported `Parser` types.
ParseSampleStream - Class in opennlp.tools.parser
ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream
  Initializes a `instance`.
ParseSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `ParseSampleStream`s.
ParseSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
ParseToPOSSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToPOSSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.formats.convert.ParseToPOSSampleStream
  Initializes a `ParseToPOSSampleStream`.
ParseToPOSSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToPOSSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert
ParseToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert
ParseToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
ParseToTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert
pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses
PENN - Enum constant in enum class opennlp.tools.postag.POSTagFormat
Perceptron - Enum constant in enum class opennlp.tools.ml.model.AbstractModel.ModelType
PERCEPTRON - Enum constant in enum class opennlp.tools.util.model.ModelType
PERCEPTRON_SEQUENCE - Enum constant in enum class opennlp.tools.util.model.ModelType
PERCEPTRON_SEQUENCE_VALUE - Static variable in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
PERCEPTRON_VALUE - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
PerceptronModel - Class in opennlp.tools.ml.perceptron
  A `model` implementation based one the perceptron algorithm.
PerceptronModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModel
  Initializes a `PerceptronModel`.
PerceptronModelReader - Class in opennlp.tools.ml.perceptron
  The base class for readers of `models`.
PerceptronModelReader(File) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader
  Initializes a `PerceptronModelReader` via a `File`.
PerceptronModelReader(DataReader) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelReader
  Initializes a `PerceptronModelReader` via a `DataReader`.
PerceptronModelWriter - Class in opennlp.tools.ml.perceptron
  The base class for `PerceptronModel` writers.
PerceptronModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.perceptron.PerceptronModelWriter
  Initializes a `PerceptronModelWriter` for a `perceptron model`.
PerceptronTrainer - Class in opennlp.tools.ml.perceptron
  Trains `models` using the perceptron algorithm.
PerceptronTrainer() - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer
  Instantiates a `PerceptronTrainer` with default training parameters.
PerceptronTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.perceptron.PerceptronTrainer
  Instantiates a `PerceptronTrainer` with specific `TrainingParameters`.
persist() - Method in class opennlp.tools.ml.AbstractMLModelWriter
persist() - Method in class opennlp.tools.ml.maxent.io.GISModelWriter
  Writes the `GIS model`, using the `AbstractModelWriter.writeUTF(String)`, `AbstractModelWriter.writeDouble(double)`, or `AbstractModelWriter.writeInt(int)`} methods implemented by extending classes.
persist() - Method in class opennlp.tools.ml.maxent.io.QNModelWriter
  Writes the `QN model`, using the `AbstractModelWriter.writeUTF(String)`, `AbstractModelWriter.writeDouble(double)`, or `AbstractModelWriter.writeInt(int)`} methods implemented by extending classes.
persist() - Method in class opennlp.tools.ml.model.AbstractModelWriter
  Serializes the `model` using the `AbstractModelWriter.writeUTF(String)`, `AbstractModelWriter.writeDouble(double)`, or `AbstractModelWriter.writeInt(int)`} methods implemented by extending classes.
persist() - Method in class opennlp.tools.ml.model.GenericModelWriter
persist() - Method in class opennlp.tools.ml.naivebayes.NaiveBayesModelWriter
  Writes the `perceptron model`, using the `AbstractModelWriter.writeUTF(String)`, `AbstractModelWriter.writeDouble(double)`, or `AbstractModelWriter.writeInt(int)`} methods implemented by extending classes.
persist() - Method in class opennlp.tools.ml.perceptron.PerceptronModelWriter
  Writes the `perceptron model`, using the `AbstractModelWriter.writeUTF(String)`, `AbstractModelWriter.writeDouble(double)`, or `AbstractModelWriter.writeInt(int)`} methods implemented by extending classes.
phrasesAsSpanList(String[], String[], String[]) - Static method in class opennlp.tools.chunker.ChunkSample
  Create arrays of `spans` of phrases.
PlainTextByLineStream - Class in opennlp.tools.util
  Reads a plain text file and returns each line as a `String` object.
PlainTextByLineStream(InputStreamFactory, String) - Constructor for class opennlp.tools.util.PlainTextByLineStream
  Initializes a `PlainTextByLineStream`.
PlainTextByLineStream(InputStreamFactory, Charset) - Constructor for class opennlp.tools.util.PlainTextByLineStream
  Initializes a `PlainTextByLineStream`.
PlainTextFileDataReader - Class in opennlp.tools.ml.model
  A generic `DataReader` implementation for plain text files.
PlainTextFileDataReader(BufferedReader) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
  Initializes a `PlainTextFileDataReader` via a `BufferedReader`.
PlainTextFileDataReader(File) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
  Initializes a `PlainTextFileDataReader` via a `File`.
PlainTextFileDataReader(InputStream) - Constructor for class opennlp.tools.ml.model.PlainTextFileDataReader
  Initializes a `PlainTextFileDataReader` via a `InputStream`.
PlainTextNaiveBayesModelReader - Class in opennlp.tools.ml.naivebayes
  A `NaiveBayesModelReader` that reads models from a plain text format.
PlainTextNaiveBayesModelReader(BufferedReader) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader
  Instantiates `PlainTextNaiveBayesModelReader` via a `BufferedReader` containing the model contents.
PlainTextNaiveBayesModelReader(File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader
  Instantiates `PlainTextNaiveBayesModelReader` via a `File` and creates a reader for it.
PlainTextNaiveBayesModelWriter - Class in opennlp.tools.ml.naivebayes
  A `NaiveBayesModelWriter` that writes models in a plain text format.
PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
  Instantiates `PlainTextNaiveBayesModelWriter` via an `naive bayes model` and a `BufferedWriter`.
PlainTextNaiveBayesModelWriter(AbstractModel, File) - Constructor for class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
  Instantiates `PlainTextNaiveBayesModelWriter` via an `naive bayes model` and a `File`.
Pointer(String, String, int, int, boolean) - Constructor for class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Static method in class opennlp.tools.postag.POSTaggerME
  Populates a `POSDictionary` from an `ObjectStream` of samples.
PORTER - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
porterStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
porterStemmer() - Constructor for class opennlp.tools.stemmer.snowball.porterStemmer
PorterStemmer - Class in opennlp.tools.stemmer
  A `Stemmer`, implementing the Porter Stemming Algorithm
PorterStemmer() - Constructor for class opennlp.tools.stemmer.PorterStemmer
PORTUGUESE - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
PortugueseContractionUtility - Class in opennlp.tools.formats.ad
  Utility class to handle Portuguese contractions.
PortugueseContractionUtility() - Constructor for class opennlp.tools.formats.ad.PortugueseContractionUtility
portugueseStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
portugueseStemmer() - Constructor for class opennlp.tools.stemmer.snowball.portugueseStemmer
POS - Enum constant in enum class opennlp.tools.models.ModelType
POS_GENERIC - Enum constant in enum class opennlp.tools.models.ModelType
POSContextGenerator - Interface in opennlp.tools.postag
  Interface for a `BeamSearchContextGenerator` used in POS tagging.
POSDictionary - Class in opennlp.tools.postag
  Provides a means of determining which tags are valid for a particular word based on a `TagDictionary` read from a file.
POSDictionary() - Constructor for class opennlp.tools.postag.POSDictionary
  Initializes an empty case sensitive `POSDictionary`.
POSDictionary(boolean) - Constructor for class opennlp.tools.postag.POSDictionary
  Initializes an empty `POSDictionary`.
POSDictionarySerializer() - Constructor for class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
POSEvaluationErrorListener - Class in opennlp.tools.cmdline.postag
  A default implementation of `EvaluationMonitor` that prints to an output stream.
POSEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
POSEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`.
POSEvaluator - Class in opennlp.tools.postag
  The `POSEvaluator` measures the performance of the given `POSTagger` with the provided reference `samples`.
POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSEvaluator
  Initializes the current instance.
POSModel - Class in opennlp.tools.postag
  The `POSModel` is the model used by a learnable `POSTagger`.
POSModel(File) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via a valid `File`.
POSModel(InputStream) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via a valid `InputStream`.
POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via given parameters.
POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via given parameters.
POSModel(String, SequenceClassificationModel, Map<String, String>, POSTaggerFactory) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via given parameters.
POSModel(URL) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via a valid `URL`.
POSModel(Path) - Constructor for class opennlp.tools.postag.POSModel
  Initializes a `POSModel` instance via a valid `Path`.
POSModelLoader - Class in opennlp.tools.cmdline.postag
  Loads a `POSModel` for the command line tools.
POSModelLoader() - Constructor for class opennlp.tools.cmdline.postag.POSModelLoader
POSModelSerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `models`.
POSModelSerializer() - Constructor for class opennlp.tools.util.model.POSModelSerializer
POSSample - Class in opennlp.tools.postag
  Represents an pos-tagged `sentence`.
POSSample(String[], String[]) - Constructor for class opennlp.tools.postag.POSSample
  Initializes a `POSSample` instance.
POSSample(String[], String[], String[][]) - Constructor for class opennlp.tools.postag.POSSample
  Initializes a `POSSample` instance.
POSSample(List<String>, List<String>) - Constructor for class opennlp.tools.postag.POSSample
  Initializes a `POSSample` instance.
POSSample(List<String>, List<String>, String[][]) - Constructor for class opennlp.tools.postag.POSSample
  Initializes a `POSSample` instance.
POSSampleEventStream - Class in opennlp.tools.postag
  Reads the `samples` from an `Iterator` and converts those samples into `events` which can be used by the maxent library for training.
POSSampleEventStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleEventStream
  Initializes the current instance with given samples and a `DefaultPOSContextGenerator`.
POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleEventStream
  Initializes the current instance with the given samples and a `POSContextGenerator`.
POSSampleSequenceStream - Class in opennlp.tools.postag
  A `SequenceStream` implementation encapsulating `samples`.
POSSampleSequenceStream(ObjectStream<POSSample>) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
  Creates a `POSSampleSequenceStream` with given `samples` using a `DefaultPOSContextGenerator`.
POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Constructor for class opennlp.tools.postag.POSSampleSequenceStream
  Creates a `POSSampleSequenceStream` with given `samples` using a `POSContextGenerator`.
PosSampleStream - Class in opennlp.tools.parser
PosSampleStream(ObjectStream<Parse>) - Constructor for class opennlp.tools.parser.PosSampleStream
  Initializes a `instance`.
POSTagFormat - Enum Class in opennlp.tools.postag
  Defines the format for part-of-speech tagging, i.e.
POSTagFormatMapper - Class in opennlp.tools.postag
  A mapping implementation for converting between different POS tag formats.
POSTagFormatMapper.NoOp - Class in opennlp.tools.postag
POSTagger - Interface in opennlp.tools.postag
  The interface for part of speech taggers.
POSTaggerConverterTool - Class in opennlp.tools.cmdline.postag
  Tool to convert multiple data formats into native OpenNLP part of speech tagging training format.
POSTaggerConverterTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerConverterTool
POSTaggerCrossValidator - Class in opennlp.tools.postag
POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTagFormat, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
  Initializes a `POSTaggerCrossValidator` that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
  Initializes a `POSTaggerCrossValidator` that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTagFormat, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
  Creates a `POSTaggerCrossValidator` using the given `POSTaggerFactory`.
POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Constructor for class opennlp.tools.postag.POSTaggerCrossValidator
  Creates a `POSTaggerCrossValidator` using the given `POSTaggerFactory`.
POSTaggerCrossValidatorTool - Class in opennlp.tools.cmdline.postag
POSTaggerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
POSTaggerEvaluationMonitor - Interface in opennlp.tools.postag
  A marker interface for evaluating `pos taggers`.
POSTaggerEvaluatorTool - Class in opennlp.tools.cmdline.postag
  A default `POSSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
POSTaggerEvaluatorTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
POSTaggerFactory - Class in opennlp.tools.postag
  The factory that provides `POSTagger` default implementations and resources.
POSTaggerFactory() - Constructor for class opennlp.tools.postag.POSTaggerFactory
  Initializes a `POSTaggerFactory` that provides the default implementation of the resources.
POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Constructor for class opennlp.tools.postag.POSTaggerFactory
  Initializes a `POSTaggerFactory` from a given set of the resources.
POSTaggerFactory.POSDictionarySerializer - Class in opennlp.tools.postag
PosTaggerFeatureGenerator - Class in opennlp.tools.util.featuregen
  A POS tagging driven feature generator.
PosTaggerFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
PosTaggerFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `PosTaggerFeatureGenerator` instances when `PosTaggerFeatureGeneratorFactory.create()` is called.
PosTaggerFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
POSTaggerFineGrainedReportListener - Class in opennlp.tools.cmdline.postag
  Generates a detailed report for the POS Tagger.
POSTaggerFineGrainedReportListener() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
  Creates a listener that will print to the configured `logger`.
POSTaggerFineGrainedReportListener(OutputStream) - Constructor for class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`.
POSTaggerME - Class in opennlp.tools.postag
  A `part-of-speech tagger` implementation that uses maximum entropy.
POSTaggerME(String) - Constructor for class opennlp.tools.postag.POSTaggerME
  Initializes a `POSTaggerME` by downloading a default model for a given `language`.
POSTaggerME(String, POSTagFormat) - Constructor for class opennlp.tools.postag.POSTaggerME
  Initializes a `POSTaggerME` by downloading a default model for a given `language`.
POSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.POSTaggerME
  Initializes a `POSTaggerME` with the provided `model`.
POSTaggerME(POSModel, POSTagFormat) - Constructor for class opennlp.tools.postag.POSTaggerME
  Initializes a `POSTaggerME` with the provided `model`.
POSTaggerNameFeatureGenerator - Class in opennlp.tools.util.featuregen
  Adds the token POS tag as feature.
POSTaggerNameFeatureGenerator(POSModel) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
  Initializes a `POSTaggerNameFeatureGenerator` with the specified `POSModel`.
POSTaggerNameFeatureGenerator(POSTagger) - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
  Initializes a `POSTaggerNameFeatureGenerator` with the specified `POSTagger`.
POSTaggerNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `POSTaggerNameFeatureGenerator` instances when `POSTaggerNameFeatureGeneratorFactory.create()` is called.
POSTaggerNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
POSTaggerTool - Class in opennlp.tools.cmdline.postag
POSTaggerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTool
POSTaggerTrainerTool - Class in opennlp.tools.cmdline.postag
POSTaggerTrainerTool() - Constructor for class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
POSToSentenceSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToSentenceSampleStream(Detokenizer, ObjectStream<POSSample>, int) - Constructor for class opennlp.tools.formats.convert.POSToSentenceSampleStream
  Initializes a `POSToSentenceSampleStream`.
POSToSentenceSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToSentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert
POSToTokenSampleStream - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToTokenSampleStream(Detokenizer, ObjectStream<POSSample>) - Constructor for class opennlp.tools.formats.convert.POSToTokenSampleStream
  Initializes a `POSToTokenSampleStream`.
POSToTokenSampleStreamFactory - Class in opennlp.tools.formats.convert
  Note: Do not use this class, internal use only!
POSToTokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats.convert
precision(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure
  Calculates the precision score for the given reference and predicted spans.
predictLanguage(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector
  Predicts the `Language` for the full `content` length.
predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
predictLanguages(CharSequence) - Method in interface opennlp.tools.langdetect.LanguageDetector
  Predicts the `languages` for the full `content` length.
predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
predictLemmas(int, String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Predict all possible lemmas (using a default upper bound).
predictNextTokens(String...) - Method in interface opennlp.tools.languagemodel.LanguageModel
  Predict the most probable output sequence of tokens, given an input sequence of `tokens`.
predictNextTokens(String...) - Method in class opennlp.tools.languagemodel.NGramLanguageModel
predictSES(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Predict Short Edit Script (automatically induced lemma class).
predIndexes - Variable in class opennlp.tools.ml.model.ComparableEvent
PrefixFeatureGenerator - Class in opennlp.tools.util.featuregen
  A feature generator implementation that generates prefix-based features.
PrefixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
  Intializes a default `PrefixFeatureGenerator`.
PrefixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGenerator
  Intializes a `PrefixFeatureGenerator` with the specified `prefixLength`.
PrefixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `PrefixFeatureGenerator` instances when `PrefixFeatureGeneratorFactory.create()` is called.
PrefixFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
PREV_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
PreviousMapFeatureGenerator - Class in opennlp.tools.util.featuregen
  This `AdaptiveFeatureGenerator` generates features indicating the outcome associated with a previously occurring word.
PreviousMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
PreviousMapFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `PreviousMapFeatureGenerator` instances when `PreviousMapFeatureGeneratorFactory.create()` is called.
PreviousMapFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
PreviousTwoMapFeatureGenerator - Class in opennlp.tools.util.featuregen
  This `AdaptiveFeatureGenerator` generates features indicating the outcome associated with two previously occurring words.
PreviousTwoMapFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
printf(String, Object...) - Method in class opennlp.tools.log.LogPrintStream
println(String) - Method in class opennlp.tools.log.LogPrintStream
printSummary() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
Prior - Interface in opennlp.tools.ml.model
  This interface allows one to implement a prior distribution for use in maximum entropy model training.
Probabilistic - Interface in opennlp.tools.ml
  A marker interface for classes with probabilistic capabilities.
Probabilities<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability distribution over labels returned by a classifier.
Probabilities() - Constructor for class opennlp.tools.ml.naivebayes.Probabilities
Probability<T> - Class in opennlp.tools.ml.naivebayes
  Class implementing the probability for a label.
Probability(T) - Constructor for class opennlp.tools.ml.naivebayes.Probability
  Instantiates a `Probability` with a given `label`.
ProbingLanguageDetectionResult - Record Class in opennlp.tools.langdetect
  A data container encapsulating language detection results.
ProbingLanguageDetectionResult(Language[], int) - Constructor for record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Creates an instance of a `ProbingLanguageDetectionResult` record class.
probingPredictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
  This will stop processing early if the stopping criteria specified in `LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG` are met.
probingPredictLanguages(CharSequence, LanguageDetectorConfig) - Method in class opennlp.tools.langdetect.LanguageDetectorME
  This will stop processing early if the stopping criteria specified in `LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG` are met.
probs() - Method in class opennlp.tools.chunker.ChunkerME
  Retrieves the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
probs() - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Retrieves the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
probs() - Method in interface opennlp.tools.ml.Probabilistic
  Retrieves the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.namefind.NameFinderME
  Retrieves the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
probs() - Method in class opennlp.tools.postag.POSTaggerME
  Retrieves the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
probs() - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Retrieves the probabilities of the last decoded sequence.
probs() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
probs() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
probs() - Method in class opennlp.tools.tokenize.TokenizerME
  Retrieves the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.chunker.ChunkerME
  Populates the specified array with the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Populates the specified array with the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.namefind.NameFinderME
  Populates the specified array with the probabilities of the last decoded sequence.
probs(double[]) - Method in class opennlp.tools.postag.POSTaggerME
  Populates the specified `probs` array with the probabilities for each tag of the last tagged sentence.
probs(Span[]) - Method in class opennlp.tools.namefind.NameFinderME
  Retrieves an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.
processSample(DocumentSample) - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Evaluates the given reference `sample`.
processSample(LanguageSample) - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Evaluates the given reference `LanguageSample` object.
progMon() - Method in record class opennlp.tools.util.TrainingConfiguration
  Returns the value of the `progMon` record component.
pruneParse(Parse) - Static method in class opennlp.tools.parser.Parse
  Prune the specified sentence parse of vacuous productions.
ptEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
put(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, double) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, int) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, String) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, String...) - Method in interface opennlp.tools.postag.MutableTagDictionary
  Associates the specified tags with the specified word.
put(String, String...) - Method in class opennlp.tools.postag.POSDictionary
put(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`.
put(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Adds the tokens to the dictionary as one new entry.
putIfAbsent(String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, double) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, int) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, String) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, String, boolean) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, String, double) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, String, int) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.
putIfAbsent(String, String, String) - Method in class opennlp.tools.util.TrainingParameters
  Puts a `value` into the current `TrainingParameters` under a certain `key`, if the value was not present before.

## Q

QNMinimizer - Class in opennlp.tools.ml.maxent.quasinewton
  Implementation of the Limited memory Broyden-Fletcher-Goldfarb-Shanno algorithm (L-BFGS) which supports L1-, L2-regularization and Elastic Net for solving convex optimization problems.
QNMinimizer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Initializes a `QNMinimizer` with default parameters (see: `QNMinimizer.L1COST_DEFAULT` and `QNMinimizer.L2COST_DEFAULT`).
QNMinimizer(double, double) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Initializes a `QNMinimizer`.
QNMinimizer(double, double, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Initializes a `QNMinimizer` with L1 and L2 parameters.
QNMinimizer(double, double, int, int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
  Initializes a `QNMinimizer`.
QNMinimizer.Evaluator - Interface in opennlp.tools.ml.maxent.quasinewton
  Evaluate the quality of training parameters.
QNMinimizer.L2RegFunction - Class in opennlp.tools.ml.maxent.quasinewton
  L2-regularized objective `Function`.
QNModel - Class in opennlp.tools.ml.maxent.quasinewton
  A `maximum entropy model` which has been trained via the L-BFGS algorithm , which belongs to the group of Quasi Newton (QN) algorithms.
QNModel(Context[], String[], String[]) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNModel
  Initializes a `QNModel` with the specified parameters, predicate/feature labels, and outcome names.
QNModelReader - Class in opennlp.tools.ml.maxent.io
  The base class for readers of `QN models`.
QNModelReader(File) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader
  Initializes a `QNModelReader` via a `File`.
QNModelReader(DataReader) - Constructor for class opennlp.tools.ml.maxent.io.QNModelReader
  Initializes a `QNModelReader` via a `DataReader`.
QNModelWriter - Class in opennlp.tools.ml.maxent.io
  The base class for writers of `models`.
QNModelWriter(AbstractModel) - Constructor for class opennlp.tools.ml.maxent.io.QNModelWriter
QNTrainer - Class in opennlp.tools.ml.maxent.quasinewton
  A Maxent model `trainer` using the L-BFGS algorithm.
QNTrainer() - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Initializes a `QNTrainer`.
QNTrainer(int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Initializes a `QNTrainer` with the specified parameter `m`.
QNTrainer(int, int) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Initializes a `QNTrainer` with the specified parameters.
QNTrainer(TrainingParameters) - Constructor for class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Initializes a `QNTrainer` with the specified `parameters`.

## R

read() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
read() - Method in class opennlp.tools.chunker.ChunkSampleStream
read() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
read() - Method in class opennlp.tools.doccat.DocumentSampleStream
read() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
read() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
read() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
read() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
read() - Method in class opennlp.tools.formats.ad.ADSentenceStream
read() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
read() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
read() - Method in class opennlp.tools.formats.brat.BratDocumentStream
read() - Method in class opennlp.tools.formats.brat.SegmenterObjectStream
read() - Method in class opennlp.tools.formats.Conll02NameSampleStream
read() - Method in class opennlp.tools.formats.Conll03NameSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluPOSSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStream
read() - Method in class opennlp.tools.formats.conllu.ConlluStream
read() - Method in class opennlp.tools.formats.conllu.ConlluTokenSampleStream
read() - Method in class opennlp.tools.formats.ConllXPOSSampleStream
read() - Method in class opennlp.tools.formats.convert.AbstractToSentenceSampleStream
read() - Method in class opennlp.tools.formats.convert.FileToByteArraySampleStream
read() - Method in class opennlp.tools.formats.convert.FileToStringSampleStream
read() - Method in class opennlp.tools.formats.convert.NameToTokenSampleStream
read() - Method in class opennlp.tools.formats.convert.ParseToPOSSampleStream
read() - Method in class opennlp.tools.formats.convert.POSToTokenSampleStream
read() - Method in class opennlp.tools.formats.DirectorySampleStream
read() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
read() - Method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream
read() - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
read() - Method in class opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
read() - Method in class opennlp.tools.formats.masc.MascDocument
read() - Method in class opennlp.tools.formats.masc.MascDocumentStream
  Return the next document.
read() - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStream
  Reads the next sample of named entities.
read() - Method in class opennlp.tools.formats.masc.MascPOSSampleStream
  Reads the next sample.
read() - Method in class opennlp.tools.formats.masc.MascSentenceSampleStream
  Reads a new `sample of sentences`.
read() - Method in class opennlp.tools.formats.masc.MascTokenSampleStream
read() - Method in class opennlp.tools.formats.moses.MosesSentenceSampleStream
read() - Method in class opennlp.tools.formats.muc.MucNameSampleStream
read() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
read() - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStream
read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
read() - Method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
read() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream
read() - Method in class opennlp.tools.langdetect.LanguageDetectorSampleStream
read() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
read() - Method in class opennlp.tools.lemmatizer.LemmaSampleStream
read() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
  Returns the next `ObjectStream` object.
read() - Method in class opennlp.tools.ml.model.ChecksumEventStream
read() - Method in class opennlp.tools.ml.model.FileEventStream
  Returns the next `Event` object.
read() - Method in class opennlp.tools.ml.model.RealValueFileEventStream
  Returns the next `Event` object.
read() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
read() - Method in class opennlp.tools.namefind.NameSampleDataStream
read() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
read() - Method in class opennlp.tools.namefind.NameSampleTypeFilter
read() - Method in class opennlp.tools.parser.ChunkSampleStream
read() - Method in class opennlp.tools.parser.ParseSampleStream
read() - Method in class opennlp.tools.parser.PosSampleStream
read() - Method in class opennlp.tools.postag.POSSampleSequenceStream
read() - Method in class opennlp.tools.postag.WordTagSampleStream
  Reads the next tokens and parses it into the next `POSSample` object.
read() - Method in class opennlp.tools.sentdetect.EmptyLinePreprocessorStream
read() - Method in class opennlp.tools.sentdetect.SentenceSampleStream
read() - Method in class opennlp.tools.tokenize.TokenizerStream
read() - Method in class opennlp.tools.tokenize.TokenSampleStream
read() - Method in class opennlp.tools.tokenize.WhitespaceTokenStream
read() - Method in class opennlp.tools.util.AbstractEventStream
read() - Method in class opennlp.tools.util.AbstractObjectStream
read() - Method in class opennlp.tools.util.CollectionObjectStream
read() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
read() - Method in class opennlp.tools.util.EventTraceStream
read() - Method in interface opennlp.tools.util.ObjectStream
  Returns the next `ObjectStream` object.
read() - Method in class opennlp.tools.util.ParagraphStream
read() - Method in class opennlp.tools.util.PlainTextByLineStream
read(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil
  Reads from the provided `InputStream` into a byte array.
readDouble() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Implement as needed for the format the model is stored in.
readDouble() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
readDouble() - Method in interface opennlp.tools.ml.model.DataReader
readDouble() - Method in class opennlp.tools.ml.model.ObjectDataReader
readDouble() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
readInt() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Implement as needed for the format the model is stored in.
readInt() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
readInt() - Method in interface opennlp.tools.ml.model.DataReader
readInt() - Method in class opennlp.tools.ml.model.ObjectDataReader
readInt() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
readUTF() - Method in class opennlp.tools.ml.model.AbstractModelReader
  Implement as needed for the format the model is stored in.
readUTF() - Method in class opennlp.tools.ml.model.BinaryFileDataReader
readUTF() - Method in interface opennlp.tools.ml.model.DataReader
readUTF() - Method in class opennlp.tools.ml.model.ObjectDataReader
readUTF() - Method in class opennlp.tools.ml.model.PlainTextFileDataReader
readUTF(DataInputStream) - Static method in class opennlp.tools.ml.model.ModelParameterChunker
  Reads model parameters from `dis`.
RealBasicEventStream - Class in opennlp.tools.ml.maxent
  Class for real-valued `events` as an `event stream`. .
RealBasicEventStream(ObjectStream<String>) - Constructor for class opennlp.tools.ml.maxent.RealBasicEventStream
RealValueFileEventStream - Class in opennlp.tools.ml.model
  Class for using a file of real-valued `events` as an `event stream`.
RealValueFileEventStream(File) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
  Instantiates a `RealValueFileEventStream` via a `File`.
RealValueFileEventStream(Reader) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
  Instantiates a `RealValueFileEventStream` via a `Reader`.
RealValueFileEventStream(String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
  Instantiates a `RealValueFileEventStream` from the specified file name.
RealValueFileEventStream(String, String) - Constructor for class opennlp.tools.ml.model.RealValueFileEventStream
  Instantiates a `RealValueFileEventStream` from the specified file name.
recall(Object[], Object[]) - Static method in class opennlp.tools.util.eval.FMeasure
  Calculates the recall score for the given reference and predicted spans.
recognize(String) - Static method in class opennlp.tools.util.featuregen.StringPattern
reduceChunks(Parse[], int, Parse) - Static method in class opennlp.tools.parser.chunking.ParserEventStream
RegexNameFinder - Class in opennlp.tools.namefind
  A `TokenNameFinder` implementation based on a series of regular expressions.
RegexNameFinder(Map<String, Pattern[]>) - Constructor for class opennlp.tools.namefind.RegexNameFinder
  Initializes a `RegexNameFinder` instance.
RegexNameFinder(Pattern[], String) - Constructor for class opennlp.tools.namefind.RegexNameFinder
  Initializes a `RegexNameFinder` instance.
RegexNameFinderFactory - Class in opennlp.tools.namefind
  Returns a `RegexNameFinder` based on a selection of defaults or a configuration and a selection of defaults.
RegexNameFinderFactory() - Constructor for class opennlp.tools.namefind.RegexNameFinderFactory
RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER - Enum Class in opennlp.tools.namefind
  Enumeration of typical regex expressions available in OpenNLP.
RegexNameFinderFactory.RegexAble - Interface in opennlp.tools.namefind
register(Map<String, ArtifactSerializer<?>>) - Static method in class opennlp.tools.util.model.GenericModelSerializer
  Registers a new `GenericModelSerializer` in the given `factories` mapping.
registerFactory() - Static method in class opennlp.tools.formats.ad.ADChunkSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ad.ADTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.brat.BratNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ChunkerSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.Conll02NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.Conll03NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ConllXPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ConllXSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ConllXTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.DocumentSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.EvalitaNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.LanguageDetectorSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.LemmatizerSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.masc.MascPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.masc.MascTokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.NameSampleDataStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.ParseSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.SentenceSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.TokenSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
registerFactory() - Static method in class opennlp.tools.formats.WordTagSampleStreamFactory
REL_GRAD_NORM_TOL - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
RELATION_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
RelationAnnotation - Class in opennlp.tools.formats.brat
remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
remove() - Method in class opennlp.tools.util.ReverseListIterator
remove(int) - Method in class opennlp.tools.parser.Parse
remove(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel
  Removes the specified `ngram` is from a `NGramCharModel`.
remove(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Removes the given tokens form the current instance.
remove(StringList) - Method in class opennlp.tools.ngram.NGramModel
  Removes the specified tokens form the NGram model, they are just dropped.
replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream
reset() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
reset() - Method in class opennlp.tools.cmdline.namefind.NameSampleCountersStream
reset() - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
reset() - Method in class opennlp.tools.formats.ad.ADNameSampleStream
reset() - Method in class opennlp.tools.formats.ad.ADPOSSampleStream
reset() - Method in class opennlp.tools.formats.ad.ADSentenceSampleStream
reset() - Method in class opennlp.tools.formats.BioNLP2004NameSampleStream
reset() - Method in class opennlp.tools.formats.brat.BratAnnotationStream
reset() - Method in class opennlp.tools.formats.brat.BratDocumentStream
reset() - Method in class opennlp.tools.formats.Conll02NameSampleStream
reset() - Method in class opennlp.tools.formats.Conll03NameSampleStream
reset() - Method in class opennlp.tools.formats.conllu.ConlluStream
reset() - Method in class opennlp.tools.formats.DirectorySampleStream
reset() - Method in class opennlp.tools.formats.EvalitaNameSampleStream
reset() - Method in class opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
reset() - Method in class opennlp.tools.formats.masc.MascDocument
  Resets the reading of sentences to the beginning of the document.
reset() - Method in class opennlp.tools.formats.masc.MascDocumentStream
  Reset the reading of all documents to the first sentence.
reset() - Method in class opennlp.tools.formats.masc.MascNamedEntitySampleStream
reset() - Method in class opennlp.tools.formats.masc.MascPOSSampleStream
reset() - Method in class opennlp.tools.formats.masc.MascSentenceSampleStream
reset() - Method in class opennlp.tools.formats.masc.MascTokenSampleStream
reset() - Method in class opennlp.tools.formats.NameFinderCensus90NameStream
reset() - Method in class opennlp.tools.formats.nkjp.NKJPSentenceSampleStream
reset() - Method in class opennlp.tools.formats.TwentyNewsgroupSampleStream
reset() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
reset() - Method in class opennlp.tools.ml.maxent.RealBasicEventStream
reset() - Method in class opennlp.tools.ml.model.FileEventStream
reset() - Method in class opennlp.tools.ml.model.SequenceStreamEventStream
reset() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
reset() - Method in class opennlp.tools.postag.POSSampleSequenceStream
reset() - Method in class opennlp.tools.stemmer.PorterStemmer
  reset() resets the stemmer so it can stem another word.
reset() - Method in class opennlp.tools.tokenize.TokenizerStream
reset() - Method in class opennlp.tools.util.AbstractEventStream
reset() - Method in class opennlp.tools.util.AbstractObjectStream
reset() - Method in class opennlp.tools.util.CollectionObjectStream
reset() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
  Resets the training sample.
reset() - Method in class opennlp.tools.util.FilterObjectStream
reset() - Method in interface opennlp.tools.util.ObjectStream
  Repositions the stream at the beginning and the previously seen object sequence will be repeated exactly.
reset() - Method in class opennlp.tools.util.PlainTextByLineStream
reset() - Method in interface opennlp.tools.util.ResetableIterator
  Sets the `Iterator` back to the first retrieved element.
ResetableIterator<E> - Interface in opennlp.tools.util
  This interface makes an `Iterator` resettable.
ReverseListIterator<T> - Class in opennlp.tools.util
  An iterator for a list which returns values in the opposite order as the typical list iterator.
ReverseListIterator(List<T>) - Constructor for class opennlp.tools.util.ReverseListIterator
RIGHT_LEFT_MATCHING - Enum constant in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Attaches the token to the right token on first occurrence, and to the token on the left side on the second occurrence.
ROMANIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
romanianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
romanianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.romanianStemmer
root() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Returns the value of the `root` record component.
run(String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerMETool
run(String[]) - Method in class opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
run(String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTool
run(String[]) - Method in class opennlp.tools.cmdline.entitylinker.EntityLinkerTool
run(String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTool
run(String[]) - Method in class opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
run(String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
run(String[]) - Method in class opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
run(String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTool
run(String[]) - Method in class opennlp.tools.cmdline.parser.ParserTool
run(String[]) - Method in class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
run(String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTool
run(String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
  Perform sentence detection on a stream of sentences.
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
run(String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMETool
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.chunker.ChunkerTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.doccat.DoccatTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.parser.BuildModelUpdaterTool
run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.parser.ParserTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.postag.POSTaggerTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
run(String, String[]) - Method in class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
RUSSIAN - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
russianStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
russianStemmer() - Constructor for class opennlp.tools.stemmer.snowball.russianStemmer

## S

Sample - Interface in opennlp.tools.commons
  Represents a generic type of processable elements.
scoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves a `Map` in which the key is the category name and the value is the score.
scoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
SDContextGenerator - Interface in opennlp.tools.sentdetect
  Interface for `SentenceDetectorME` context generators.
SDCrossValidator - Class in opennlp.tools.sentdetect
  A cross validator for `sentence detectors`.
SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SDCrossValidator
SDEventStream - Class in opennlp.tools.sentdetect
SDEventStream(ObjectStream<SentenceSample>, SDContextGenerator, EndOfSentenceScanner) - Constructor for class opennlp.tools.sentdetect.SDEventStream
  Initializes the current instance.
seen - Variable in class opennlp.tools.ml.model.ComparableEvent
SegmenterObjectStream<S,T> - Class in opennlp.tools.formats.brat
SegmenterObjectStream(ObjectStream<S>) - Constructor for class opennlp.tools.formats.brat.SegmenterObjectStream
sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
sentDetect(CharSequence) - Method in interface opennlp.tools.sentdetect.SentenceDetector
  Detects sentences in a character sequence.
sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Detects sentences in given input `CharSequence`..
sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
Sentence(String, ADSentenceStream.SentenceParser.Node, String) - Constructor for record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Creates an instance of a `Sentence` record class.
SENTENCE_DETECTOR - Enum constant in enum class opennlp.tools.models.ModelType
SentenceContextGenerator - Class in opennlp.tools.sentdetect.lang.th
  Creates contexts/features for end-of-sentence detection in Thai text.
SentenceContextGenerator() - Constructor for class opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
SentenceDetector - Interface in opennlp.tools.sentdetect
  The interface for sentence detectors, which find the sentence boundaries in a text.
SentenceDetectorConverterTool - Class in opennlp.tools.cmdline.sentdetect
  Tool to convert multiple data formats into native OpenNLP sentence detector training format.
SentenceDetectorConverterTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorConverterTool
SentenceDetectorCrossValidatorTool - Class in opennlp.tools.cmdline.sentdetect
SentenceDetectorCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
SentenceDetectorEvaluationMonitor - Interface in opennlp.tools.sentdetect
SentenceDetectorEvaluator - Class in opennlp.tools.sentdetect
  The `SentenceDetectorEvaluator` measures the performance of the given `SentenceDetector` with the provided reference `SentenceSample`s.
SentenceDetectorEvaluator(SentenceDetector, SentenceDetectorEvaluationMonitor...) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorEvaluator
  Initializes the current instance.
SentenceDetectorEvaluatorTool - Class in opennlp.tools.cmdline.sentdetect
  A default `SentenceSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
SentenceDetectorEvaluatorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
SentenceDetectorFactory - Class in opennlp.tools.sentdetect
  The factory that provides `SentenceDetector` default implementations and resources
SentenceDetectorFactory() - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory
  Creates a `SentenceDetectorFactory` that provides the default implementation of the resources.
SentenceDetectorFactory(String, boolean, Dictionary, char[]) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorFactory
  Creates a `SentenceDetectorFactory`.
SentenceDetectorME - Class in opennlp.tools.sentdetect
  A sentence detector for splitting up raw text into sentences.
SentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
  Initializes the sentence detector by downloading a default model.
SentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
  Initializes the current instance.
SentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
  Instantiates a `SentenceDetectorME` with an existing `SentenceModel`.
SentenceDetectorME(SentenceModel, Factory) - Constructor for class opennlp.tools.sentdetect.SentenceDetectorME
  Deprecated.
  Use a `SentenceDetectorFactory` to extend SentenceDetector functionality.
SentenceDetectorTool - Class in opennlp.tools.cmdline.sentdetect
  A sentence detector which uses a maxent model to predict the sentences.
SentenceDetectorTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
SentenceDetectorTrainerTool - Class in opennlp.tools.cmdline.sentdetect
SentenceDetectorTrainerTool() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
SentenceEvaluationErrorListener - Class in opennlp.tools.cmdline.sentdetect
  A default implementation of `EvaluationMonitor` that prints to an output stream.
SentenceEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
SentenceEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`.
SentenceFeatureGenerator - Class in opennlp.tools.util.featuregen
  This feature generator creates sentence begin and end features.
SentenceFeatureGenerator(boolean, boolean) - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGenerator
SentenceFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `SentenceFeatureGenerator` instances when `SentenceFeatureGeneratorFactory.create()` is called.
SentenceFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
SentenceModel - Class in opennlp.tools.sentdetect
  The `SentenceModel` is the model used by a learnable `SentenceDetector`.
SentenceModel(File) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Initializes a `SentenceModel` instance via a valid `File`.
SentenceModel(InputStream) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Initializes a `SentenceModel` instance via a valid `InputStream`.
SentenceModel(String, MaxentModel, Map<String, String>, SentenceDetectorFactory) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Initializes a `SentenceModel` instance via given parameters.
SentenceModel(URL) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Initializes a `SentenceModel` instance via a valid `URL`.
SentenceModel(Path) - Constructor for class opennlp.tools.sentdetect.SentenceModel
  Initializes a `SentenceModel` instance via a valid `Path`.
SentenceParser() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
SentenceSample - Class in opennlp.tools.sentdetect
  A `SentenceSample` contains a document with begin indexes of the individual sentences.
SentenceSample(CharSequence, Span...) - Constructor for class opennlp.tools.sentdetect.SentenceSample
  Initializes the current instance.
SentenceSample(Detokenizer, String[][]) - Constructor for class opennlp.tools.sentdetect.SentenceSample
SentenceSampleStream - Class in opennlp.tools.sentdetect
  This class is a stream filter which reads a sentence by line samples from an `ObjectStream` and converts them into `SentenceSample` objects.
SentenceSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentdetect.SentenceSampleStream
SentenceSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `SentenceSampleStream`s.
SentenceSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
sentPosDetect(CharSequence) - Method in interface opennlp.tools.sentdetect.SentenceDetector
  Detects sentences in a character sequence.
sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Detects the position of the first words of sentences in a `CharSequence`.
sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
Sequence<T> - Class in opennlp.tools.ml.model
  Class which models a sequence.
Sequence - Class in opennlp.tools.util
  Represents a weighted sequence of outcomes.
Sequence() - Constructor for class opennlp.tools.util.Sequence
  Initializes a new `Sequence` of outcomes.
Sequence(List<String>) - Constructor for class opennlp.tools.util.Sequence
  Initializes a new `Sequence` of outcomes from a list of `outcomes`.
Sequence(Event[], T) - Constructor for class opennlp.tools.ml.model.Sequence
  Initializes `Sequence` made up of the specified events and derived from the specified source.
Sequence(Sequence) - Constructor for class opennlp.tools.util.Sequence
  Initializes a new `Sequence` of outcomes from an existing `Sequence`.
Sequence(Sequence, String, double) - Constructor for class opennlp.tools.util.Sequence
  Initializes a new `Sequence` of outcomes from an existing `Sequence`.
SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.EventModelSequenceTrainer
SEQUENCE_VALUE - Static variable in interface opennlp.tools.ml.SequenceTrainer
SequenceClassificationModel - Interface in opennlp.tools.ml.model
  A classification model that can label an input `Sequence`.
SequenceCodec<T> - Interface in opennlp.tools.util
  A codec for sequences of type `SequenceCodec`.
SequenceStream<S> - Interface in opennlp.tools.ml.model
  Interface for streams of `sequences` used to train sequence models.
SequenceStreamEventStream - Class in opennlp.tools.ml.model
  Class which turns a `SequenceStream` into an event stream.
SequenceStreamEventStream(SequenceStream<Event>) - Constructor for class opennlp.tools.ml.model.SequenceStreamEventStream
SequenceTrainer - Interface in opennlp.tools.ml
SequenceValidator<T> - Interface in opennlp.tools.util
SerializableArtifact - Interface in opennlp.tools.util.model
  A marker interface so that implementing classes can refer to the corresponding `ArtifactSerializer` implementation.
serialize(byte[], OutputStream) - Method in class opennlp.tools.util.model.ByteArraySerializer
serialize(File) - Method in class opennlp.tools.util.model.BaseModel
  Serializes the model to the specified `File`.
serialize(OutputStream) - Method in class opennlp.tools.dictionary.Dictionary
  Writes the current instance to the given `OutputStream`.
serialize(OutputStream) - Method in class opennlp.tools.ngram.NGramModel
  Writes the ngram instance to the given `OutputStream`.
serialize(OutputStream) - Method in class opennlp.tools.postag.POSDictionary
  Writes the `POSDictionary` to the given `OutputStream`;
serialize(OutputStream) - Method in class opennlp.tools.tokenize.DetokenizationDictionary
  Serializes the current state of a `DetokenizationDictionary` via an `output stream`.
serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster
serialize(OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary
serialize(OutputStream) - Method in class opennlp.tools.util.model.BaseModel
  Serializes the model to the given `OutputStream`.
serialize(OutputStream) - Method in class opennlp.tools.util.TrainingParameters
  Serializes a `TrainingParameters` instance via a specified `OutputStream`.
serialize(OutputStream, Iterator<Entry>, boolean) - Static method in class opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
  Serializes the given entries to the given `OutputStream`.
serialize(Writer) - Method in class opennlp.tools.parser.lang.en.HeadRules
  Serializes the head rules via a `Writer` in a format suitable for loading the head rules again.
serialize(Writer) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
  Serializes the head rules via a `Writer` in a format suitable for loading the head rules again.
serialize(Path) - Method in class opennlp.tools.util.model.BaseModel
  Serializes the model to the specified `Path`.
serialize(ChunkerModel, OutputStream) - Method in class opennlp.tools.util.model.ChunkerModelSerializer
serialize(Dictionary, OutputStream) - Method in class opennlp.tools.util.model.DictionarySerializer
serialize(AbstractModel, OutputStream) - Method in class opennlp.tools.util.model.GenericModelSerializer
serialize(HeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
serialize(AncoraSpanishHeadRules, OutputStream) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
serialize(POSDictionary, OutputStream) - Method in class opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
serialize(POSModel, OutputStream) - Method in class opennlp.tools.util.model.POSModelSerializer
serialize(BrownCluster, OutputStream) - Method in class opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
serialize(WordClusterDictionary, OutputStream) - Method in class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
serialize(T, OutputStream) - Method in interface opennlp.tools.util.model.ArtifactSerializer
  Serializes an artifact to the provided `OutputStream`.
set(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a `probability` to a label, discarding any previously assigned probability.
set(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability.
set(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a `probability` to a label, discarding any previously assigned probability.
set(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability.
set(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a `probability` to a label `t`, discarding any previously assigned probability.
set(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a probability to a label `t`, discarding any previously assigned probability.
set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a `probability` to a label `t`, discarding any previously assigned probability.
set(T, Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a probability to a label `t`, discarding any previously assigned probability.
setAll(double, double, double, double[], double[], double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Updates line search elements.
setAll(double, double, double, double[], double[], double[], double[], int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
  Updates line search elements.
setChild(int, String) - Method in class opennlp.tools.parser.Parse
  Replaces the child at the specified index with a new child with the specified label.
setChunkSize(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setConfidence(double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Sets the best confidence with which this set of probabilities has been calculated.
setCount(CharSequence, int) - Method in class opennlp.tools.ngram.NGramCharModel
  Sets the count of an existing `ngram`.
setCount(StringList, int) - Method in class opennlp.tools.ngram.NGramModel
  Sets the count of an existing ngram.
setCurrent(char[], int) - Method in class opennlp.tools.stemmer.snowball.SnowballProgram
  Set the current string.
setCurrent(String) - Method in class opennlp.tools.stemmer.snowball.SnowballProgram
  Set the current string.
setCurrentContext(String[][]) - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
setCurrPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setDerivation(StringBuffer) - Method in class opennlp.tools.parser.Parse
  Specifies the derivation string to be associated with this parse.
setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setEnd(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
setErrorReporting(boolean) - Method in class opennlp.tools.parser.AbstractBottomUpParser
  Specifies whether the parser should report when it was unable to find a parse for a particular sentence.
setEvaluator(QNMinimizer.Evaluator) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer
setFctEvalCount(int) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setFeatureGenerators(FeatureGenerator[]) - Method in class opennlp.tools.doccat.DoccatFactory
setFunctionalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setGaussianSigma(double) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Sets whether this trainer will use smoothing while training the model.
setGradAtCurr(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a `probability` to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a `probability` to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability<T>) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a `probability` to a label `t`, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a probability to a label `t`, discarding any previously assigned probability, if the new probability is greater than the old one.
setItemID(String) - Method in class opennlp.tools.entitylinker.BaseLink
setItemName(String) - Method in class opennlp.tools.entitylinker.BaseLink
setItemParentID(String) - Method in class opennlp.tools.entitylinker.BaseLink
setItemType(String) - Method in class opennlp.tools.entitylinker.BaseLink
setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.SimpleTokenizer
  Switches whether to keep new lines or not.
setLabel(String) - Method in class opennlp.tools.parser.Constituent
  Assigns the label to the constituent.
setLabel(String) - Method in class opennlp.tools.parser.Parse
  Assigns this parse the specified label.
setLabels(String[], String[]) - Method in interface opennlp.tools.ml.model.Prior
  Method to specify the label for the outcomes and contexts.
setLabels(String[], String[]) - Method in class opennlp.tools.ml.model.UniformPrior
setLemma(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setLevel(int) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setLexeme(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setLinkedEntries(ArrayList<T>) - Method in class opennlp.tools.entitylinker.LinkedSpan
setLog(double) - Method in class opennlp.tools.ml.naivebayes.LogProbability
  Assigns a log `probability` to a label, discarding any previously assigned probability.
setLog(double) - Method in class opennlp.tools.ml.naivebayes.Probability
  Assigns a log probability to a label, discarding any previously assigned probability.
setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.LogProbabilities
  Assigns a log `probability` to a label `t`, discarding any previously assigned probability.
setLog(T, double) - Method in class opennlp.tools.ml.naivebayes.Probabilities
  Assigns a log probability to a label `t`, discarding any previously assigned probability.
setMatchingPatterns(Pattern[]) - Method in class opennlp.tools.namefind.RegexNameFinder
setMaxLength(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setMinConsecImprovements(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setMinDiff(double) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
setMorphologicalTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setNextPoint(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setNextPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse
  Sets the `punctuation tags` which follow this parse.
setNote(String) - Method in class opennlp.tools.formats.brat.BratAnnotation
setParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext
  Assigns the parameter or expected value at the specified outcomeIndex the specified value.
setParams(String[]) - Static method in class opennlp.tools.util.TrainingParameters
setParent(Parse) - Method in class opennlp.tools.parser.Parse
  Specifies the parent parse node for this constituent.
setParents(Parse) - Static method in class opennlp.tools.parser.AbstractBottomUpParser
  Assigns parent references for the specified parse so that they are consistent with the children references.
setPrevPunctuation(Collection<Parse>) - Method in class opennlp.tools.parser.Parse
  Sets the `punctuation tags` which precede this parse.
setPseudoGradAtNext(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setScoreMap(Map<String, Double>) - Method in class opennlp.tools.entitylinker.BaseLink
setSearchTerm(String) - Method in class opennlp.tools.entitylinker.LinkedSpan
setSecondaryTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setSentenceid(int) - Method in class opennlp.tools.entitylinker.LinkedSpan
setSignVector(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setSkippedAveraging(boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Enables skipped averaging, this flag changes the standard averaging to special averaging instead.
setSmoothing(boolean) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Sets whether this trainer will use smoothing while training the model.
setSmoothingObservation(double) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Sets whether this trainer will use smoothing while training the model.
setSpanType(String) - Method in class opennlp.tools.namefind.RegexNameFinder
setStart(int) - Method in class opennlp.tools.formats.ad.ADChunkSampleStream
setStepSize(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setStepSizeDecrease(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Enables and sets step size decrease.
setSyntacticTag(String) - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
setTolerance(double) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Specifies the tolerance.
setType(String) - Method in class opennlp.tools.parser.Parse
  Set the type of this constituent to the specified type.
setValue(String, String) - Method in class opennlp.tools.dictionary.serializer.Attributes
  Sets a key/value pair.
setValueAtCurr(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setValueAtNext(double) - Method in class opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
SgmlParser - Class in opennlp.tools.formats.muc
  A SAX style SGML parser.
SgmlParser() - Constructor for class opennlp.tools.formats.muc.SgmlParser
SgmlParser.ContentHandler - Class in opennlp.tools.formats.muc
  Defines methods to handle content produced by a `SgmlParser`.
show() - Method in class opennlp.tools.parser.Parse
  Prints this parse using Penn Treebank-style formatting.
show(StringBuffer) - Method in class opennlp.tools.parser.Parse
  Fills the specified `StringBuffer` with a string representation of this parse.
showCodeTree() - Method in class opennlp.tools.parser.Parse
  Prints to standard out a representation of the specified parse which contains hash codes so that parent/child relationships can be explicitly seen.
ShrinkCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  A `ShrinkCharSequenceNormalizer` implementation that shrinks repeated spaces / chars in text.
ShrinkCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
SIGNATURE_CHUNKED_PARAMS - Static variable in class opennlp.tools.ml.model.ModelParameterChunker
SimplePerceptronSequenceTrainer - Class in opennlp.tools.ml.perceptron
  Trains `models` with sequences using the perceptron algorithm.
SimplePerceptronSequenceTrainer() - Constructor for class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
  Instantiates a `SimplePerceptronSequenceTrainer` with a default configuration of training parameters.
SimpleTokenizer - Class in opennlp.tools.tokenize
  A basic `Tokenizer` implementation which performs tokenization using character classes.
SimpleTokenizerTool - Class in opennlp.tools.cmdline.tokenizer
SimpleTokenizerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
since() - Element in annotation interface opennlp.tools.commons.Internal
  The OpenNLP release when an element was first declared internal.
since() - Element in annotation interface opennlp.tools.commons.ThreadSafe
  The OpenNLP release when an element was first declared `thread-safe`.
size() - Method in class opennlp.tools.dictionary.Dictionary
size() - Method in class opennlp.tools.ngram.NGramCharModel
  Retrieves the number of `entries` in a `NGramCharModel`.
size() - Method in class opennlp.tools.ngram.NGramModel
  Retrieves the number of `StringList` entries in the current instance.
size() - Method in class opennlp.tools.util.StringList
size() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
SnowballProgram - Class in opennlp.tools.stemmer.snowball
  Base class for a snowball stemmer
SnowballProgram(SnowballProgram) - Constructor for class opennlp.tools.stemmer.snowball.SnowballProgram
SnowballStemmer - Class in opennlp.tools.stemmer.snowball
SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer
SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer
SnowballStemmer.ALGORITHM - Enum Class in opennlp.tools.stemmer.snowball
SORT_DEFAULT - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
SORT_PARAM - Static variable in class opennlp.tools.ml.model.AbstractDataIndexer
sortedScoreMap(String[]) - Method in interface opennlp.tools.doccat.DocumentCategorizer
  Retrieves a `SortedMap` of the scores sorted in ascending order, together with their associated categories.
sortedScoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
SPA - Enum constant in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
Span - Class in opennlp.tools.util
  Class for storing start and end integer offsets.
Span(int, int) - Constructor for class opennlp.tools.util.Span
  Initializes a new `Span`.
Span(int, int, double) - Constructor for class opennlp.tools.util.Span
  Initializes a new `Span`.
Span(int, int, String) - Constructor for class opennlp.tools.util.Span
  Initializes a new `Span`.
Span(int, int, String, double) - Constructor for class opennlp.tools.util.Span
  Initializes a new `Span`.
Span(Span, double) - Constructor for class opennlp.tools.util.Span
  Creates a new immutable `Span` based on an existing `Span`, where the existing `Span` did not include the probability.
Span(Span, int) - Constructor for class opennlp.tools.util.Span
  Initializes a new `Span` with an existing `Span` which is shifted by an offset.
SPAN_TYPE - Static variable in class opennlp.tools.formats.brat.AnnotationConfiguration
SpanAnnotation - Class in opennlp.tools.formats.brat
SPANISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
spanishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
spanishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.spanishStemmer
spansToStrings(Span[], CharSequence) - Static method in class opennlp.tools.util.Span
  Converts an array of `spans` to an array of `String`.
spansToStrings(Span[], String[]) - Static method in class opennlp.tools.util.Span
SPLIT - Static variable in class opennlp.tools.sentdetect.SentenceDetectorME
  Constant indicates a sentence split.
SPLIT - Static variable in class opennlp.tools.tokenize.TokenizerME
  Constant indicates a token split.
START - Static variable in class opennlp.tools.namefind.BilouCodec
START - Static variable in class opennlp.tools.namefind.BioCodec
START - Static variable in class opennlp.tools.namefind.NameFinderME
START - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Prefix for outcomes starting a constituent.
START_TAG - Static variable in class opennlp.tools.namefind.NameSampleDataStream
START_TAG_PREFIX - Static variable in class opennlp.tools.namefind.NameSampleDataStream
startElement(String, String, String, Attributes) - Method in class opennlp.tools.formats.masc.MascNamedEntityParser
startElement(String, String, String, Attributes) - Method in class opennlp.tools.formats.masc.MascPennTagParser
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.MucNameContentHandler
startElement(String, Map<String, String>) - Method in class opennlp.tools.formats.muc.SgmlParser.ContentHandler
  Handles a SGML start element.
startsWith(Span) - Method in class opennlp.tools.util.Span
stem() - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem the word placed into the Stemmer buffer through calls to add().
stem() - Method in class opennlp.tools.stemmer.snowball.arabicStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.catalanStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.danishStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.dutchStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.englishStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.finnishStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.frenchStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.germanStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.greekStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.hungarianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.indonesianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.irishStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.italianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.norwegianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.porterStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.portugueseStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.romanianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.russianStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.spanishStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.swedishStemmer
stem() - Method in class opennlp.tools.stemmer.snowball.turkishStemmer
stem(char[]) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word contained in a char[].
stem(char[], int) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word contained in a leading portion of a char[] array.
stem(char[], int, int) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word contained in a portion of a char[] array.
stem(int) - Method in class opennlp.tools.stemmer.PorterStemmer
stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word provided as a CharSequence.
stem(CharSequence) - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer
stem(CharSequence) - Method in interface opennlp.tools.stemmer.Stemmer
stem(String) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word provided as a String.
Stemmer - Interface in opennlp.tools.stemmer
  The stemmer is reducing a word to its stem.
STOP - Static variable in class opennlp.tools.monitoring.IterDeltaAccuracyUnderTolerance
STOP - Static variable in class opennlp.tools.monitoring.LogLikelihoodThresholdBreached
stopCriteria() - Method in record class opennlp.tools.util.TrainingConfiguration
  Returns the value of the `stopCriteria` record component.
StopCriteria<T extends Number> - Interface in opennlp.tools.monitoring
  Stop criteria for model training.
StringInterner - Interface in opennlp.tools.util.jvm
  A marker-interface for a String interner implementation.
StringInterners - Class in opennlp.tools.util.jvm
  Provides string interning utility methods.
StringInterners() - Constructor for class opennlp.tools.util.jvm.StringInterners
StringList - Class in opennlp.tools.util
  A `StringList` is an immutable list of `String`s.
StringList(boolean, String...) - Constructor for class opennlp.tools.util.StringList
  Initializes a `StringList` instance.
StringList(String) - Constructor for class opennlp.tools.util.StringList
  Initializes a `StringList` instance.
StringList(String...) - Constructor for class opennlp.tools.util.StringList
  Initializes a `StringList` instance.
StringPattern - Class in opennlp.tools.util.featuregen
  Recognizes predefined patterns in strings.
StringUtil - Class in opennlp.tools.util
StringUtil() - Constructor for class opennlp.tools.util.StringUtil
SuffixFeatureGenerator - Class in opennlp.tools.util.featuregen
  A feature generator implementation that generates suffix-based features.
SuffixFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
  Intializes a `SuffixFeatureGenerator`.
SuffixFeatureGenerator(int) - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGenerator
  Intializes a `SuffixFeatureGenerator` with the specified `suffixLength`.
SuffixFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `SuffixFeatureGenerator` instances when `SuffixFeatureGeneratorFactory.create()` is called.
SuffixFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
sumFeatures(Context[], float[], double[]) - Static method in class opennlp.tools.ml.ArrayMath
SWEDISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
swedishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
swedishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.swedishStemmer

## T

tag() - Method in record class opennlp.tools.util.TokenTag
  Returns the value of the `tag` record component.
tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME
  Returns at most the specified `numTaggings` for the specified `sentence`.
tag(String[]) - Method in interface opennlp.tools.postag.POSTagger
  Assigns the sentence of tokens pos tags.
tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME
  Assigns the sentence of tokens pos tags.
tag(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
tag(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
  Assigns the sentence of tokens pos tags.
tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
  Assigns the sentence of tokens pos tags.
tag(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
TAG - Enum constant in enum class opennlp.tools.parser.ParserEventTypeEnum
  Deprecated.
TagDictionary - Interface in opennlp.tools.postag
  Interface to determine which tags are valid for a particular word based on a tag dictionary.
TaggerModelReplacerTool - Class in opennlp.tools.cmdline.parser
TaggerModelReplacerTool() - Constructor for class opennlp.tools.cmdline.parser.TaggerModelReplacerTool
test(Double) - Method in class opennlp.tools.monitoring.IterDeltaAccuracyUnderTolerance
test(Double) - Method in class opennlp.tools.monitoring.LogLikelihoodThresholdBreached
text() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Returns the value of the `text` record component.
thEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
THREADS_DEFAULT - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
THREADS_PARAM - Static variable in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
THREADS_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
ThreadSafe - Annotation Interface in opennlp.tools.commons
  Classes, fields, or methods annotated `&#64;ThreadSafe` are safe to use in multithreading contexts.
ThreadSafeChunkerME - Class in opennlp.tools.chunker
  A thread-safe version of the `ChunkerME`.
ThreadSafeChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ThreadSafeChunkerME
  Initializes a `ThreadSafeChunkerME` with the specified `model`.
ThreadSafeLanguageDetectorME - Class in opennlp.tools.langdetect
  A thread-safe version of the `LanguageDetectorME`.
ThreadSafeLanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
  Initializes a `ThreadSafeLanguageDetectorME` with the specified `model`.
ThreadSafeLemmatizerME - Class in opennlp.tools.lemmatizer
  A thread-safe version of the `LemmatizerME`.
ThreadSafeLemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
  Initializes a `ThreadSafeLemmatizerME` with the specified `model`.
ThreadSafeNameFinderME - Class in opennlp.tools.namefind
  A thread-safe version of `NameFinderME`.
ThreadSafeNameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.ThreadSafeNameFinderME
  Initializes a `ThreadSafeNameFinderME` with the specified `model`.
ThreadSafePOSTaggerME - Class in opennlp.tools.postag
  A thread-safe version of the `POSTaggerME`.
ThreadSafePOSTaggerME(String) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Initializes a `ThreadSafePOSTaggerME` by downloading a default model for a given `language`.
ThreadSafePOSTaggerME(String, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Initializes a `ThreadSafePOSTaggerME` by downloading a default model for a given `language`.
ThreadSafePOSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Initializes a `ThreadSafePOSTaggerME` with the specified `model`.
ThreadSafePOSTaggerME(POSModel, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Initializes a `ThreadSafePOSTaggerME` with the specified `model`.
ThreadSafeSentenceDetectorME - Class in opennlp.tools.sentdetect
  A thread-safe version of `SentenceDetectorME`.
ThreadSafeSentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Initializes a `ThreadSafeSentenceDetectorME` by downloading a default model for a given `language`.
ThreadSafeSentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Initializes a `ThreadSafeSentenceDetectorME` with the specified `model`.
ThreadSafeSentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Instantiates a `ThreadSafeSentenceDetectorME` with an existing `SentenceModel`.
ThreadSafeTokenizerME - Class in opennlp.tools.tokenize
  A thread-safe version of `TokenizerME`.
ThreadSafeTokenizerME(String) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Initializes a `ThreadSafeTokenizerME` by downloading a default model for a given `language`.
ThreadSafeTokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Initializes a `ThreadSafeTokenizerME` with the specified `model`.
ThreadSafeTokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Instantiates a `ThreadSafeTokenizerME` with an existing `TokenizerModel`.
toCaseInsensitive() - Method in class opennlp.tools.util.StringList
toCaseSensitive() - Method in class opennlp.tools.util.StringList
toContraction(String, String) - Static method in class opennlp.tools.formats.ad.PortugueseContractionUtility
  Merges a contraction.
toDictionary() - Method in class opennlp.tools.ngram.NGramModel
  Creates a dictionary which contain all `StringList` which are in the current `NGramModel`.
toDictionary(boolean) - Method in class opennlp.tools.ngram.NGramModel
  Creates a dictionary which contains all `StringList`s which are in the current `NGramModel`.
toDoubleArray(List<Double>) - Static method in class opennlp.tools.ml.ArrayMath
  Convert a list of `Double` objects into an array of primitive doubles.
toDoubleBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector
toFloatBuffer() - Method in interface opennlp.tools.util.wordvector.WordVector
toIntArray(List<Integer>) - Static method in class opennlp.tools.ml.ArrayMath
  Convert a list of `Integer` objects into an array of primitive integers.
TOK_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The label for a token node.
token() - Method in record class opennlp.tools.util.TokenTag
  Returns the value of the `token` record component.
TokenClassFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates features for the class of a token.
TokenClassFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
  Initalizes a `TokenClassFeatureGenerator` which won't generate the `w&c` feature per token.
TokenClassFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGenerator
  Initalizes a `TokenClassFeatureGenerator`.
TokenClassFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `TokenClassFeatureGenerator` instances when `TokenClassFeatureGeneratorFactory.create()` is called.
TokenClassFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
TokenContextGenerator - Interface in opennlp.tools.tokenize
  Interface for context generators required for `TokenizerME`.
TokenEvaluationErrorListener - Class in opennlp.tools.cmdline.tokenizer
  A default implementation of `EvaluationMonitor` that prints to an output stream.
TokenEvaluationErrorListener() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
  Creates a listener that will print to the configured `logger`.
TokenEvaluationErrorListener(OutputStream) - Constructor for class opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
  Creates a listener that will print to a given `OutputStream`.
tokenFeature(String) - Static method in class opennlp.tools.util.featuregen.FeatureGeneratorUtil
  Generates a class name for the specified token.
TokenFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates a feature which contains a token itself.
TokenFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
  Initializes a `TokenFeatureGenerator`.
TokenFeatureGenerator(boolean) - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGenerator
  Initializes a `TokenFeatureGenerator`.
TokenFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `TokenFeatureGenerator` instances when `TokenFeatureGeneratorFactory.create()` is called.
TokenFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
tokenize(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
tokenize(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
tokenize(String) - Method in interface opennlp.tools.tokenize.Tokenizer
  Splits a string into its atomic parts.
tokenize(String) - Method in class opennlp.tools.tokenize.WordpieceTokenizer
tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
tokenizePos(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
tokenizePos(String) - Method in interface opennlp.tools.tokenize.Tokenizer
  Finds the boundaries of atomic parts in a string.
tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME
  Tokenizes the string.
tokenizePos(String) - Method in class opennlp.tools.tokenize.WhitespaceTokenizer
tokenizePos(String) - Method in class opennlp.tools.tokenize.WordpieceTokenizer
Tokenizer - Interface in opennlp.tools.tokenize
  The interface for tokenizers, which segment a string into its tokens.
TOKENIZER - Enum constant in enum class opennlp.tools.models.ModelType
TokenizerConverterTool - Class in opennlp.tools.cmdline.tokenizer
  Tool to convert multiple data formats into native OpenNLP sentence detector training format.
TokenizerConverterTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerConverterTool
TokenizerCrossValidator - Class in opennlp.tools.tokenize
  A cross validator for `tokenizers`.
TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerCrossValidator
  Creates a `TokenizerCrossValidator` using the given `TokenizerFactory`.
TokenizerCrossValidatorTool - Class in opennlp.tools.cmdline.tokenizer
TokenizerCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
TokenizerEvaluationMonitor - Interface in opennlp.tools.tokenize
  A marker interface for evaluating `tokenizers`.
TokenizerEvaluator - Class in opennlp.tools.tokenize
  The `TokenizerEvaluator` measures the performance of the given `Tokenizer` with the provided reference `samples`.
TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Constructor for class opennlp.tools.tokenize.TokenizerEvaluator
  Initializes an instance to evaluate a `Tokenizer`.
TokenizerFactory - Class in opennlp.tools.tokenize
  The factory that provides `Tokenizer` default implementation and resources.
TokenizerFactory() - Constructor for class opennlp.tools.tokenize.TokenizerFactory
  Instantiates a `TokenizerFactory` that provides the default implementation of the resources.
TokenizerFactory(String, Dictionary, boolean, Pattern) - Constructor for class opennlp.tools.tokenize.TokenizerFactory
  Instantiates a `TokenizerFactory`.
TokenizerME - Class in opennlp.tools.tokenize
  A `Tokenizer` for converting raw text into separated tokens.
TokenizerME(String) - Constructor for class opennlp.tools.tokenize.TokenizerME
  Initializes a `TokenizerME` by downloading a default model.
TokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.TokenizerME
  Instantiates a `TokenizerME` with an existing `TokenizerModel`.
TokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.TokenizerME
  Instantiates a `TokenizerME` with an existing `TokenizerModel`.
TokenizerMEEvaluatorTool - Class in opennlp.tools.cmdline.tokenizer
  A default `TokenSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
TokenizerMEEvaluatorTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
TokenizerMETool - Class in opennlp.tools.cmdline.tokenizer
TokenizerMETool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerMETool
TokenizerModel - Class in opennlp.tools.tokenize
  The `TokenizerModel` is the model used by a learnable `Tokenizer`.
TokenizerModel(File) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes a `TokenizerModel` instance via a valid `File`.
TokenizerModel(InputStream) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes a `TokenizerModel` instance via a valid `InputStream`.
TokenizerModel(URL) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes a `TokenizerModel` instance via a valid `URL`.
TokenizerModel(Path) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes a `TokenizerModel` instance via a valid `Path`.
TokenizerModel(MaxentModel, Map<String, String>, TokenizerFactory) - Constructor for class opennlp.tools.tokenize.TokenizerModel
  Initializes a `TokenizerModel` instance via a `MaxentModel` and related resources.
TokenizerModelLoader - Class in opennlp.tools.cmdline.tokenizer
  Loads a `TokenizerModel` for the command line tools.
TokenizerModelLoader() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerModelLoader
TokenizerStream - Class in opennlp.tools.tokenize
  The `TokenizerStream` uses a `Tokenizer` to tokenize the input string and output `samples`.
TokenizerStream(Tokenizer, ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenizerStream
  Initializes a `instance`.
TokenizerTrainerTool - Class in opennlp.tools.cmdline.tokenizer
TokenizerTrainerTool() - Constructor for class opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
TokenNameFinder - Interface in opennlp.tools.namefind
  The interface for name finders which provide name tags for a sequence of tokens.
TokenNameFinderConverterTool - Class in opennlp.tools.cmdline.namefind
  Tool to convert multiple data formats into native OpenNLP name finder training format.
TokenNameFinderConverterTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderConverterTool
TokenNameFinderCrossValidator - Class in opennlp.tools.namefind
  Cross validator for `TokenNameFinder`.
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
  Initializes a `TokenNameFinderCrossValidator` with the given parameters.
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceCodec<String>, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
  Initializes a `TokenNameFinderCrossValidator` with the given parameters.
TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderCrossValidator
  Initializes a `TokenNameFinderCrossValidator` with the given parameters.
TokenNameFinderCrossValidatorTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderCrossValidatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
TokenNameFinderDetailedFMeasureListener - Class in opennlp.tools.cmdline.namefind
TokenNameFinderDetailedFMeasureListener() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderDetailedFMeasureListener
TokenNameFinderEvaluationMonitor - Interface in opennlp.tools.namefind
  A marker interface for evaluating `name finders`.
TokenNameFinderEvaluator - Class in opennlp.tools.namefind
  The `TokenNameFinderEvaluator` measures the performance of the given `TokenNameFinder` with the provided reference `samples`.
TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Constructor for class opennlp.tools.namefind.TokenNameFinderEvaluator
  Initializes a `TokenNameFinderEvaluator` for a given `TokenNameFinder`.
TokenNameFinderEvaluatorTool - Class in opennlp.tools.cmdline.namefind
  A default `NameSample`-centric implementation of `AbstractEvaluatorTool` that prints to an output stream.
TokenNameFinderEvaluatorTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
TokenNameFinderFactory - Class in opennlp.tools.namefind
  The factory that provides `TokenNameFinder` default implementations and resources.
TokenNameFinderFactory() - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory
  Initializes a `TokenNameFinderFactory` that provides the default implementation of the resources.
TokenNameFinderFactory(byte[], Map<String, Object>, SequenceCodec<String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderFactory
  Initializes a `TokenNameFinderFactory` instance via given parameters.
TokenNameFinderFineGrainedReportListener - Class in opennlp.tools.cmdline.namefind
  Generates a detailed report for the NameFinder.
TokenNameFinderFineGrainedReportListener(SequenceCodec<String>) - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
  Creates a listener that will print to the configured `logger`.
TokenNameFinderFineGrainedReportListener(SequenceCodec<String>, OutputStream) - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
  Creates a listener that prints to a given `OutputStream`.
TokenNameFinderModel - Class in opennlp.tools.namefind
  The `TokenNameFinderModel` is the model used by a learnable `TokenNameFinder`.
TokenNameFinderModel(File) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via a valid `File`.
TokenNameFinderModel(InputStream) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via a valid `InputStream`.
TokenNameFinderModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via given parameters.
TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via given parameters.
TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via given parameters.
TokenNameFinderModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via given parameters.
TokenNameFinderModel(String, SequenceClassificationModel, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via given parameters.
TokenNameFinderModel(URL) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via a valid `URL`.
TokenNameFinderModel(Path) - Constructor for class opennlp.tools.namefind.TokenNameFinderModel
  Initializes a `TokenNameFinderModel` instance via a valid `Path`.
TokenNameFinderModel.FeatureGeneratorCreationError - Exception in opennlp.tools.namefind
TokenNameFinderModelLoader - Class in opennlp.tools.cmdline.namefind
  Loads a `TokenNameFinderModel` for the command line tools.
TokenNameFinderModelLoader() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderModelLoader
TokenNameFinderTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTool
TokenNameFinderTrainerTool - Class in opennlp.tools.cmdline.namefind
TokenNameFinderTrainerTool() - Constructor for class opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
TokenPatternFeatureGenerator - Class in opennlp.tools.util.featuregen
  Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.
TokenPatternFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
  Initializes a `TokenPatternFeatureGenerator`.
TokenPatternFeatureGenerator(Tokenizer) - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
  Initializes a `TokenPatternFeatureGenerator` instance.
TokenPatternFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` instantiates `TokenPatternFeatureGenerator` instances when `TokenPatternFeatureGeneratorFactory.create()` is called.
TokenPatternFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
tokens() - Method in record class opennlp.tools.dictionary.serializer.Entry
  Returns the value of the `tokens` record component.
tokens() - Method in interface opennlp.tools.util.wordvector.WordVectorTable
TokenSample - Class in opennlp.tools.tokenize
  A `TokenSample` is text with token spans.
TokenSample(String, Span[]) - Constructor for class opennlp.tools.tokenize.TokenSample
  Initializes a `instance`.
TokenSample(Detokenizer, String[]) - Constructor for class opennlp.tools.tokenize.TokenSample
  Initializes a `instance` via a `Detokenizer`.
TokenSampleStream - Class in opennlp.tools.tokenize.lang.en
  Class which produces an Iterator<TokenSample> from a file of space delimited token.
TokenSampleStream - Class in opennlp.tools.tokenize
  This class is a `stream filter` which reads in string encoded samples and creates `samples` out of them.
TokenSampleStream(InputStream) - Constructor for class opennlp.tools.tokenize.lang.en.TokenSampleStream
TokenSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
  Initializes a `instance`.
TokenSampleStream(ObjectStream<String>, String) - Constructor for class opennlp.tools.tokenize.TokenSampleStream
  Initializes a `instance`.
TokenSampleStreamFactory - Class in opennlp.tools.formats
  Factory producing OpenNLP `TokenSampleStream`s.
TokenSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
TokenTag - Record Class in opennlp.tools.util
TokenTag(String, String, String[]) - Constructor for record class opennlp.tools.util.TokenTag
  Creates an instance of a `TokenTag` record class.
TokSpanEventStream - Class in opennlp.tools.tokenize
  This class reads the `samples` via an `Iterator` and converts the samples into `events` which can be used by the maxent library for training.
TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
  Initializes a new event stream based on the data stream using a `TokenContextGenerator` that relies on a `DefaultTokenContextGenerator`.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
  Initializes a new event stream based on the data stream using a `TokenContextGenerator`.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Constructor for class opennlp.tools.tokenize.TokSpanEventStream
  Initializes a new event stream based on the data stream using a `TokenContextGenerator`.
TOLERANCE_DEFAULT - Static variable in class opennlp.tools.ml.perceptron.PerceptronTrainer
toLine(Event) - Static method in class opennlp.tools.ml.model.FileEventStream
  Generates a string representing the specified event.
toLowerCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil
  Converts a `CharSequence` to lower case, independent of the current `Locale` via `Character.toLowerCase(int)` which uses mapping information from the UnicodeData file.
toLowerCaseCharBuffer(CharSequence) - Static method in class opennlp.tools.util.StringUtil
TOP_NODE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  The label for the top node.
topKLemmaClasses(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKLemmaClasses(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[]) - Method in interface opennlp.tools.postag.POSTagger
  Assigns the sentence the top-k `sequences`.
topKSequences(String[]) - Method in class opennlp.tools.postag.POSTaggerME
  Assigns the sentence the top-k `sequences`.
topKSequences(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
topKSequences(String[], Object[]) - Method in interface opennlp.tools.postag.POSTagger
  Assigns the sentence the top-k `sequences`.
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
  Assigns the sentence the top-k `sequences`.
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
topKSequences(String[], String[]) - Method in interface opennlp.tools.chunker.Chunker
  Computes the top k chunk `sequences` for the specified sentence with the specified pos-tags.
topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[], String[], double) - Method in interface opennlp.tools.chunker.Chunker
  Computes the top k chunk `sequences` for the specified sentence with the specified pos-tags.
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
toSpan() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
toString() - Method in class opennlp.tools.chunker.ChunkSample
toString() - Method in class opennlp.tools.dictionary.Dictionary
toString() - Method in record class opennlp.tools.dictionary.serializer.Entry
  Returns a string representation of this record class.
toString() - Method in class opennlp.tools.doccat.DocumentCategorizerEvaluator
  Represents this object as human-readable `String`.
toString() - Method in class opennlp.tools.doccat.DocumentSample
toString() - Method in class opennlp.tools.entitylinker.BaseLink
toString() - Method in class opennlp.tools.entitylinker.LinkedSpan
toString() - Method in record class opennlp.tools.formats.ad.ADSentenceStream.Sentence
  Returns a string representation of this record class.
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
toString() - Method in class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
toString() - Method in class opennlp.tools.formats.brat.AttributeAnnotation
toString() - Method in class opennlp.tools.formats.brat.BratAnnotation
toString() - Method in class opennlp.tools.formats.brat.RelationAnnotation
toString() - Method in class opennlp.tools.formats.brat.SpanAnnotation
toString() - Method in class opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
toString() - Method in class opennlp.tools.langdetect.Language
toString() - Method in class opennlp.tools.langdetect.LanguageDetectorEvaluator
  Represents this object as human-readable `String`.
toString() - Method in record class opennlp.tools.langdetect.LanguageSample
  Returns a string representation of this record class.
toString() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns a string representation of this record class.
toString() - Method in class opennlp.tools.lemmatizer.LemmaSample
toString() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Returns this object's human-readable `String` representation.
toString() - Method in class opennlp.tools.ml.model.ComparableEvent
toString() - Method in class opennlp.tools.ml.model.ComparablePredicate
toString() - Method in class opennlp.tools.ml.model.Event
toString() - Method in class opennlp.tools.ml.naivebayes.LogProbability
toString() - Method in class opennlp.tools.ml.naivebayes.Probabilities
toString() - Method in class opennlp.tools.ml.naivebayes.Probability
toString() - Method in class opennlp.tools.namefind.NameSample
toString() - Method in class opennlp.tools.ngram.NGramCharModel
toString() - Method in class opennlp.tools.ngram.NGramModel
toString() - Method in class opennlp.tools.parser.Parse
  Represents this `Parse` in a human-readable way.
toString() - Method in class opennlp.tools.postag.POSDictionary
toString() - Method in class opennlp.tools.postag.POSEvaluator
  Represents this object as human-readable `String`.
toString() - Method in class opennlp.tools.postag.POSSample
toString() - Method in class opennlp.tools.sentdetect.SentenceSample
toString() - Method in class opennlp.tools.stemmer.PorterStemmer
  After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)
toString() - Method in class opennlp.tools.tokenize.TokenSample
toString() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
toString() - Method in class opennlp.tools.util.eval.FMeasure
toString() - Method in class opennlp.tools.util.eval.Mean
toString() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
toString() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
toString() - Method in class opennlp.tools.util.Sequence
toString() - Method in class opennlp.tools.util.Span
toString() - Method in class opennlp.tools.util.StringList
toString() - Method in record class opennlp.tools.util.TokenTag
  Returns a string representation of this record class.
toString() - Method in record class opennlp.tools.util.TrainingConfiguration
  Returns a string representation of this record class.
toString() - Method in class opennlp.tools.util.Version
  The `Version.parse(String)` method can create an instance of `Version` with the returned version value string.
toStringPennTreebank() - Method in class opennlp.tools.parser.Parse
toUpperCase(CharSequence) - Static method in class opennlp.tools.util.StringUtil
  Converts a `CharSequence` to upper case, independent of the current `Locale` via `Character.toUpperCase(char)` which uses mapping information from the UnicodeData file.
train(String, String, ObjectStream<NameSample>, TrainingParameters, TokenNameFinderFactory) - Static method in class opennlp.tools.namefind.NameFinderME
  Starts a training of a `TokenNameFinderModel` with the given parameters.
train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Static method in class opennlp.tools.chunker.ChunkerME
  Starts a training of a `ChunkerModel` with the given parameters.
train(String, ObjectStream<DocumentSample>, TrainingParameters, DoccatFactory) - Static method in class opennlp.tools.doccat.DocumentCategorizerME
  Starts a training of a `DoccatModel` with the given parameters.
train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
  Starts a training of a `LemmatizerModel` with the given parameters.
train(String, ObjectStream<Parse>, HeadRules, int, int) - Static method in class opennlp.tools.parser.treeinsert.Parser
  Starts a training of a `ParserModel`.
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.chunking.Parser
  Starts a training of a `ParserModel`.
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Static method in class opennlp.tools.parser.treeinsert.Parser
  Starts a training of a `ParserModel`.
train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Static method in class opennlp.tools.postag.POSTaggerME
  Starts a training of a `POSModel` with the given parameters.
train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Static method in class opennlp.tools.sentdetect.SentenceDetectorME
  Starts a training of a `SentenceModel` with the given parameters.
train(DataIndexer) - Method in class opennlp.tools.ml.AbstractEventTrainer
train(DataIndexer) - Method in interface opennlp.tools.ml.EventTrainer
  Trains a `MaxentModel` for given `events`.
train(SequenceStream<Event>) - Method in class opennlp.tools.ml.AbstractEventModelSequenceTrainer
train(SequenceStream<T>) - Method in interface opennlp.tools.ml.EventModelSequenceTrainer
  Trains a `MaxentModel` for given `events`.
train(SequenceStream<T>) - Method in interface opennlp.tools.ml.SequenceTrainer
  Trains a `SequenceClassificationModel` for given `events`.
train(ObjectStream<LanguageSample>, TrainingParameters, LanguageDetectorFactory) - Static method in class opennlp.tools.langdetect.LanguageDetectorME
  Starts a training of a `LanguageDetectorModel` with the given parameters.
train(ObjectStream<Event>) - Method in class opennlp.tools.ml.AbstractEventTrainer
train(ObjectStream<Event>) - Method in interface opennlp.tools.ml.EventTrainer
  Trains a `MaxentModel` for given `events`.
train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
  Trains a model for the `TokenizerME`.
Trainer - Interface in opennlp.tools.commons
  Represents a common base for training implementations.
TRAINER_TYPE_PARAM - Static variable in class opennlp.tools.util.TrainingParameters
TrainerFactory - Class in opennlp.tools.ml
  A factory to initialize `Trainer` instances depending on a trainer type configured via `TrainingParameters`.
TrainerFactory() - Constructor for class opennlp.tools.ml.TrainerFactory
TrainerFactory.TrainerType - Enum Class in opennlp.tools.ml
TRAINING_CUTOFF_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
TRAINING_EVENTHASH_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
TRAINING_ITERATIONS_PROPERTY - Static variable in class opennlp.tools.util.model.BaseModel
TrainingConfiguration - Record Class in opennlp.tools.util
  Configuration used for `AbstractModel` training.
TrainingConfiguration(TrainingProgressMonitor, StopCriteria<Double>) - Constructor for record class opennlp.tools.util.TrainingConfiguration
  Creates an instance of a `TrainingConfiguration` record class.
TrainingMeasure - Enum Class in opennlp.tools.monitoring
  Enumeration of Training measures.
TrainingParameters - Class in opennlp.tools.util
  Declares and handles default parameters used for or during training models.
TrainingParameters() - Constructor for class opennlp.tools.util.TrainingParameters
  No-arg constructor to create a default `TrainingParameters` instance.
TrainingParameters(InputStream) - Constructor for class opennlp.tools.util.TrainingParameters
  `InputStream` based constructor that reads in `TrainingParameters`.
TrainingParameters(Map<String, Object>) - Constructor for class opennlp.tools.util.TrainingParameters
  Key-value based constructor to apply a `Map` based configuration initialization.
TrainingParameters(TrainingParameters) - Constructor for class opennlp.tools.util.TrainingParameters
  Copy constructor to hand over the config of existing `TrainingParameters`.
TrainingProgressMonitor - Interface in opennlp.tools.monitoring
  An interface to capture training progress of an `AbstractModel`.
TrainingToolParams - Interface in opennlp.tools.cmdline.params
  Common training parameters.
trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Trains a model using the GIS algorithm.
trainModel(int, DataIndexer) - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
  Trains a `model` using the QN algorithm.
trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Trains a model using the GIS algorithm.
trainModel(int, DataIndexer, int) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Trains a `PerceptronModel` with given parameters.
trainModel(int, DataIndexer, int, boolean) - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Trains a `PerceptronModel` with given parameters.
trainModel(int, DataIndexer, Prior, int) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Trains a model using the GIS algorithm.
trainModel(int, SequenceStream<Event>, int, boolean) - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
  Trains a `PerceptronModel` with given parameters.
trainModel(DataIndexer) - Method in class opennlp.tools.ml.naivebayes.NaiveBayesTrainer
  Trains a `NaiveBayesModel` with given parameters.
trainModel(ObjectStream<Event>) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Trains a model using the GIS algorithm, assuming 100 iterations and no cutoff.
trainModel(ObjectStream<Event>, int, int) - Method in class opennlp.tools.ml.maxent.GISTrainer
  Trains a GIS model on the event in the specified event stream, using the specified number of iterations and the specified count cutoff.
TreeElement() - Constructor for class opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
TREEINSERT - Enum constant in enum class opennlp.tools.parser.ParserType
TrigramNameFeatureGenerator - Class in opennlp.tools.util.featuregen
  Adds trigram features based on tokens and token classes.
TrigramNameFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
TrigramNameFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `TrigramNameFeatureGenerator` instances when `TrigramNameFeatureGeneratorFactory.create()` is called.
TrigramNameFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
trim(CharSequence) - Method in class opennlp.tools.util.Span
TURKISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
turkishStemmer - Class in opennlp.tools.stemmer.snowball
  This class implements the stemming algorithm defined by a snowball script.
turkishStemmer() - Constructor for class opennlp.tools.stemmer.snowball.turkishStemmer
TwentyNewsgroupSampleStream - Class in opennlp.tools.formats
  An `ObjectStream` implementation for the Twenty Newsgroups text corpus.
TwentyNewsgroupSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
TwentyNewsgroupSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
TwitterCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  A `TwitterCharSequenceNormalizer` implementation that normalizes text in terms of Twitter character patterns.
TwitterCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
TwoPassDataIndexer - Class in opennlp.tools.ml.model
  Collecting event and context counts by making two passes over the events.
TwoPassDataIndexer() - Constructor for class opennlp.tools.ml.model.TwoPassDataIndexer

## U

U - Enum constant in enum class opennlp.tools.formats.conllu.ConlluTagset
UD - Enum constant in enum class opennlp.tools.postag.POSTagFormat
UncloseableInputStream - Class in opennlp.tools.util.model
  An `InputStream` which cannot be closed.
UncloseableInputStream(InputStream) - Constructor for class opennlp.tools.util.model.UncloseableInputStream
UniformPrior - Class in opennlp.tools.ml.model
  Provide a maximum entropy model with a uniform `Prior`.
UniformPrior() - Constructor for class opennlp.tools.ml.model.UniformPrior
UNIT - Static variable in class opennlp.tools.namefind.BilouCodec
UNKNOWN - Enum constant in enum class opennlp.tools.postag.POSTagFormat
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.namefind.NameContextGenerator
  Informs all the feature generators that the specified `tokens` have been classified with the corresponds set of specified `outcomes`.
updateAdaptiveData(String[], String[]) - Method in interface opennlp.tools.util.featuregen.AdaptiveFeatureGenerator
  Informs a feature generator that the specified tokens have been classified with the corresponding set of specified `outcomes`.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Calls the `AdaptiveFeatureGenerator.updateAdaptiveData(String[], String[])` method on all aggregated `feature generators`.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
  Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
updateAdaptiveData(String[], String[]) - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
updateBuildModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel
  Instantiates a new `ParserModel` instance from the existing configuration with the specified `buildModel` for exchange.
updateCheckModel(MaxentModel) - Method in class opennlp.tools.parser.ParserModel
  Instantiates a new `ParserModel` instance from the existing configuration with the specified `checkModel` for exchange.
updateChunkerModel(ChunkerModel) - Method in class opennlp.tools.parser.ParserModel
  Instantiates a new `ParserModel` instance from the existing configuration with the specified `chunkModel` for exchange.
updateContext(Sequence<ChunkSample>, AbstractModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
updateContext(Sequence<LemmaSample>, AbstractModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
updateContext(Sequence<NameSample>, AbstractModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream
updateContext(Sequence<POSSample>, AbstractModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream
updateContext(Sequence<S>, AbstractModel) - Method in interface opennlp.tools.ml.model.SequenceStream
  Creates a new event array based on the outcomes predicted by the specified parameters for the specified `Sequence`.
updateHeads(HeadRules) - Method in class opennlp.tools.parser.Parse
  Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.
updateParameter(int, double) - Method in class opennlp.tools.ml.model.MutableContext
  Updated the parameter or expected value at the specified outcomeIndex by adding the specified value to its current value.
updateScores(Object[], Object[]) - Method in class opennlp.tools.util.eval.FMeasure
  Updates the score based on the number of true positives and the number of predictions and references.
updateSpan() - Method in class opennlp.tools.parser.Parse
updateTaggerModel(POSModel) - Method in class opennlp.tools.parser.ParserModel
  Instantiates a new `ParserModel` instance from the existing configuration with the specified `taggerModel` for exchange.
URL - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
UrlCharSequenceNormalizer - Class in opennlp.tools.util.normalizer
  A `UrlCharSequenceNormalizer` implementation that normalizes text in terms of URls and email addresses.
UrlCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
USA_PHONE_NUM - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerME
useAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerModel
useFunctionTags(boolean) - Static method in class opennlp.tools.parser.Parse
  Specifies whether function tags should be included as part of the constituent type.
useTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceModel

## V

validate() - Method in class opennlp.tools.ml.AbstractEventTrainer
validate() - Method in class opennlp.tools.ml.AbstractTrainer
  Checks the configured `parameters`.
validate() - Method in class opennlp.tools.ml.maxent.quasinewton.QNTrainer
validate() - Method in class opennlp.tools.ml.perceptron.PerceptronTrainer
  Checks the configured `parameters`.
validate() - Method in class opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
  Checks the configured `parameters`.
validateArtifactMap() - Method in class opennlp.tools.chunker.ChunkerFactory
validateArtifactMap() - Method in class opennlp.tools.doccat.DoccatFactory
validateArtifactMap() - Method in class opennlp.tools.langdetect.LanguageDetectorFactory
validateArtifactMap() - Method in class opennlp.tools.lemmatizer.LemmatizerFactory
validateArtifactMap() - Method in class opennlp.tools.namefind.TokenNameFinderFactory
validateArtifactMap() - Method in class opennlp.tools.postag.POSTaggerFactory
validateArtifactMap() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
validateArtifactMap() - Method in class opennlp.tools.tokenize.TokenizerFactory
validateArtifactMap() - Method in class opennlp.tools.util.BaseToolFactory
  Validates the parsed artifacts.
validateOutcomes(MaxentModel, String...) - Static method in class opennlp.tools.util.model.ModelUtil
  Checks if the `expectedOutcomes` are all contained as outcomes in the given `model`.
validSequence(int, String[], String[], String) - Method in class opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.BilouNameFinderSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.namefind.NameFinderSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
validSequence(int, String[], String[], String) - Method in class opennlp.tools.postag.DefaultPOSSequenceValidator
validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.chunker.DefaultChunkerSequenceValidator
validSequence(int, TokenTag[], String[], String) - Method in class opennlp.tools.parser.ParserChunkerSequenceValidator
validSequence(int, T[], String[], String) - Method in interface opennlp.tools.util.SequenceValidator
  Determines whether a particular continuation of a `sequence` is valid.
value() - Element in annotation interface opennlp.tools.commons.Internal
valueAt(double[]) - Method in interface opennlp.tools.ml.maxent.quasinewton.Function
  Computes the function value for `x`.
valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
  Computes the negative log-likelihood.
valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
  Computes the function value for `x`.
valueAt(double[]) - Method in class opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
valueOf(String) - Static method in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.formats.conllu.ConlluTagset
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.ml.model.AbstractModel.ModelType
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.ml.TrainerFactory.TrainerType
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.models.ModelType
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.monitoring.TrainingMeasure
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.parser.ParserEventTypeEnum
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.parser.ParserType
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.postag.POSTagFormat
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.model.ModelType
  Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.wordvector.WordVectorType
  Returns the enum constant of this class with the specified name.
values - Variable in class opennlp.tools.ml.model.ComparableEvent
values() - Static method in enum class opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.formats.conllu.ConlluTagset
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.ml.model.AbstractModel.ModelType
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.ml.TrainerFactory.TrainerType
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.models.ModelType
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.monitoring.TrainingMeasure
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.parser.ParserEventTypeEnum
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.parser.ParserType
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.postag.POSTagFormat
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.tokenize.DetokenizationDictionary.Operation
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.tokenize.Detokenizer.DetokenizationOperation
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.model.ModelType
  Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.wordvector.WordVectorType
  Returns an array containing the constants of this enum class, in the order they are declared.
Version - Class in opennlp.tools.util
  The `Version` class represents the OpenNLP Tools library version.
Version(int, int, int) - Constructor for class opennlp.tools.util.Version
  Initializes a `Version` instance with the provided version elements.
Version(int, int, int, boolean) - Constructor for class opennlp.tools.util.Version
  Initializes a `Version` instance with the provided version elements.

## W

WhitespaceTokenizer - Class in opennlp.tools.tokenize
  A basic `Tokenizer` implementation which performs tokenization using white spaces.
WhitespaceTokenStream - Class in opennlp.tools.tokenize
  This stream formats `ObjectStream` of `samples` into whitespace separated token strings.
WhitespaceTokenStream(ObjectStream<TokenSample>) - Constructor for class opennlp.tools.tokenize.WhitespaceTokenStream
  Initializes a `WhitespaceTokenStream`.
WindowFeatureGenerator - Class in opennlp.tools.util.featuregen
  Generates previous (left-sided) and next (right-sided) features for a given `AdaptiveFeatureGenerator`.
WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes a `WindowFeatureGenerator` with the given parameters.
WindowFeatureGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes a `WindowFeatureGenerator`.
WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes a `WindowFeatureGenerator`.
WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGenerator
  Initializes a `WindowFeatureGenerator` with the given parameters.
WindowFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  A `GeneratorFactory` that produces `WindowFeatureGenerator` instances when `WindowFeatureGeneratorFactory.create()` is called.
WindowFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
WordClusterDictionary - Class in opennlp.tools.util.featuregen
WordClusterDictionary(InputStream) - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary
  Read word2vec and clark clustering style lexicons.
WordClusterDictionary.WordClusterDictionarySerializer - Class in opennlp.tools.util.featuregen
WordClusterDictionarySerializer() - Constructor for class opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
WordClusterFeatureGenerator - Class in opennlp.tools.util.featuregen
  An `AdaptiveFeatureGenerator` implementation of a word cluster feature generator.
WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGenerator
  Instantiates a `WordClusterFeatureGenerator` via a specified `WordClusterDictionary`.
WordClusterFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen
  Defines a word cluster `GeneratorFactory`; it reads an element containing 'w2vwordcluster' as a tag name.
WordClusterFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
WordpieceTokenizer - Class in opennlp.tools.tokenize
  A `Tokenizer` implementation which performs tokenization using word pieces.
WordpieceTokenizer(Set<String>) - Constructor for class opennlp.tools.tokenize.WordpieceTokenizer
  Initializes a `WordpieceTokenizer` with a `vocabulary` and a default `maxTokenLength` of `50`.
WordpieceTokenizer(Set<String>, int) - Constructor for class opennlp.tools.tokenize.WordpieceTokenizer
  Initializes a `WordpieceTokenizer` with a `vocabulary` and a custom `maxTokenLength`.
WordTagSampleStream - Class in opennlp.tools.postag
  A `stream filter` which reads a sentence per line that contains words and tags in `word_tag` format and outputs a `POSSample` objects.
WordTagSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.postag.WordTagSampleStream
  Initializes a `POSSample` instance.
WordTagSampleStreamFactory - Class in opennlp.tools.formats
  Note: Do not use this class, internal use only!
WordTagSampleStreamFactory.Parameters - Interface in opennlp.tools.formats
WordVector - Interface in opennlp.tools.util.wordvector
  A word vector.
WordVectorTable - Interface in opennlp.tools.util.wordvector
  A table that maps tokens to word vectors.
WordVectorType - Enum Class in opennlp.tools.util.wordvector
writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Writes a single `double` to the underlying `DataOutputStream`.
writeDouble(double) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Writes a single `double` to the underlying `DataOutputStream`.
writeDouble(double) - Method in class opennlp.tools.ml.model.AbstractModelWriter
  Writes a single `double` to the underlying `DataOutputStream`.
writeDouble(double) - Method in class opennlp.tools.ml.model.GenericModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeDouble(double) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Writes a single `int` to the underlying `DataOutputStream`.
writeInt(int) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Writes a single `int` to the underlying `DataOutputStream`.
writeInt(int) - Method in class opennlp.tools.ml.model.AbstractModelWriter
  Writes a single `int` to the underlying `DataOutputStream`.
writeInt(int) - Method in class opennlp.tools.ml.model.GenericModelWriter
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeInt(int) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeInt(int) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil
  Writes the given `MaxentModel` to the specified `OutputStream`.
writeReport() - Method in class opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
writeReport() - Method in class opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
writeUTF(DataOutputStream, String) - Static method in class opennlp.tools.ml.model.ModelParameterChunker
  Writes the model parameter `s` to `dos`.
writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryGISModelWriter
  Writes a `String` to the underlying `DataOutputStream`.
writeUTF(String) - Method in class opennlp.tools.ml.maxent.io.BinaryQNModelWriter
  Writes a `String` to the underlying `DataOutputStream`.
writeUTF(String) - Method in class opennlp.tools.ml.model.AbstractModelWriter
  Writes a `String` to the underlying `DataOutputStream`.
writeUTF(String) - Method in class opennlp.tools.ml.model.GenericModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeUTF(String) - Method in class opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

## X

X - Enum constant in enum class opennlp.tools.formats.conllu.ConlluTagset
XmlUtil - Class in opennlp.tools.util
XmlUtil() - Constructor for class opennlp.tools.util.XmlUtil

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