# Index

A B C D E F G H I J L M N O P 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
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`.
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
AbstractXmlFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
add(char) - Method in class opennlp.tools.stemmer.PorterStemmer
  Add a character to the word being stemmed.
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...) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
  Adds one entry (1-gram or n-gram).
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.
addAll(Collection<String[]>) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
  Adds a bulk of entries.
addCutoffAndIterations(Map<String, String>, int, int) - Static method in class opennlp.tools.util.model.ModelUtil
  Adds `cutoff` and `iterations` to `manifestInfoEntries`.
addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class opennlp.tools.namefind.DefaultNameContextGenerator
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
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
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
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
asStringSet() - Method in class opennlp.tools.dictionary.Dictionary
  Converts this `Dictionary` to a `Set<String>`.
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.
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.
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
between(int, int, int) - Static method in class opennlp.tools.util.Version
  Checks whether a `version` is in between an interval and its boundaries.
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
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
BPEModel - Class in opennlp.tools.tokenize
  The `BPEModel` stores learned BPE merge operations and can be serialized and deserialized for reuse.
BPEModel(File) - Constructor for class opennlp.tools.tokenize.BPEModel
  Initializes a `BPEModel` from a `File`.
BPEModel(InputStream) - Constructor for class opennlp.tools.tokenize.BPEModel
  Initializes a `BPEModel` from an `InputStream`.
BPEModel(URL) - Constructor for class opennlp.tools.tokenize.BPEModel
  Initializes a `BPEModel` from a `URL`.
BPEModel(Path) - Constructor for class opennlp.tools.tokenize.BPEModel
  Initializes a `BPEModel` from a `Path`.
BPEModel(List<BPETokenizer.SymbolPair>, Map<String, String>, BPETokenizerFactory) - Constructor for class opennlp.tools.tokenize.BPEModel
  Creates a `BPEModel` from trained merge rules.
BPETokenizer - Class in opennlp.tools.tokenize
  A `Tokenizer` implementation that performs subword tokenization using Byte Pair Encoding (BPE).
BPETokenizer(BPEModel) - Constructor for class opennlp.tools.tokenize.BPETokenizer
  Initializes a `BPETokenizer` from a trained `BPEModel`.
BPETokenizer.SymbolPair - Record Class in opennlp.tools.tokenize
  Represents a pair of adjacent symbols in BPE.
BPETokenizerFactory - Class in opennlp.tools.tokenize
  A `BaseToolFactory` for BPE tokenization that manages the BPE merge rules artifact and its serialization within a `BPEModel`.
BPETokenizerFactory() - Constructor for class opennlp.tools.tokenize.BPETokenizerFactory
  Creates a `BPETokenizerFactory`.
BPETokenizerFactory(String) - Constructor for class opennlp.tools.tokenize.BPETokenizerFactory
  Creates a `BPETokenizerFactory` with the given language code.
BPETokenizerTrainer - Class in opennlp.tools.tokenize
  Learns BPE merge operations from a training corpus and produces a `BPEModel`.
BPETokenizerTrainer() - Constructor for class opennlp.tools.tokenize.BPETokenizerTrainer
  Creates a new `BPETokenizerTrainer`.
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() - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
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.
builder() - Static method in class opennlp.tools.stopword.DictionaryStopwordFilter
buildNGramDictionary(ObjectStream<POSSample>, int) - Static method in class opennlp.tools.postag.POSTaggerME
  Constructs an `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

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.
  Use `CachedFeatureGenerator(AdaptiveFeatureGenerator)` instead.
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
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 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
caseSensitive(boolean) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
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 class opennlp.tools.doccat.DocumentCategorizerME
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.
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
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`.
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
chunk(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
chunkAsSpans(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
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`.
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.
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`.
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`.
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`.
ChunkerModelSerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `models`.
ChunkerModelSerializer() - Constructor for class opennlp.tools.util.model.ChunkerModelSerializer
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 class opennlp.tools.namefind.NameFinderME
clearAdaptiveData() - Method in class opennlp.tools.namefind.RegexNameFinder
clearAdaptiveData() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
  Deprecated.
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
clearForCurrentThread() - Method in class opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
  Releases the calling thread's per-thread context slot.
clearForCurrentThread() - Method in class opennlp.tools.util.LastResultOwnerOrThreadLocal
  Clears `ThreadLocal` state for the current thread and, when this thread is the single-thread owner, clears owner fields so another thread can become owner.
clearForCurrentThread() - Method in class opennlp.tools.util.OwnerOrPerThreadState
  Removes this thread's `ThreadLocal` slot and, if this thread is the owner, resets owner state and releases ownership so a future single-thread user can claim it.
clearThreadLocalState() - Method in class opennlp.tools.chunker.ChunkerME
  Removes thread-local state to prevent classloader leaks in container environments.
clearThreadLocalState() - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Removes thread-local state to prevent classloader leaks in container environments.
clearThreadLocalState() - Method in class opennlp.tools.namefind.NameFinderME
  Releases the calling thread's per-thread state for this `NameFinderME` (the last decoded sequence stashed for `NameFinderME.probs()` access, plus the additional-context slot held by `AdditionalContextFeatureGenerator`).
clearThreadLocalState() - Method in class opennlp.tools.postag.POSTaggerME
  Removes thread-local state to prevent classloader leaks in container environments.
clearThreadLocalState() - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Removes thread-local state to prevent classloader leaks in container environments.
clearThreadLocalState() - Method in class opennlp.tools.tokenize.TokenizerME
  Removes thread-local state to prevent classloader leaks in container environments.
close() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
close() - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
close() - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
  Deprecated.
close() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
close() - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
  Deprecated.
close() - Method in class opennlp.tools.namefind.NameSampleSequenceStream
close() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
  Deprecated.
close() - Method in class opennlp.tools.postag.POSSampleSequenceStream
close() - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
close() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
close() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
close() - Method in class opennlp.tools.tokenize.TokenizerStream
close() - Method in class opennlp.tools.util.AbstractEventStream
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.
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
compareToIgnoreCase(StringList) - Method in class opennlp.tools.util.StringList
  Compares to `token list` and ignores the case of the tokens.
COMPLETE - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Outcome used when a constituent is complete.
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 with an optional per-thread context cache.
ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Constructor for class opennlp.tools.postag.ConfigurablePOSContextGenerator
  Initializes a `ConfigurablePOSContextGenerator` instance.
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
CONT - Static variable in class opennlp.tools.parser.AbstractBottomUpParser
  Prefix for outcomes continuing a constituent.
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(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
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
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
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 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, 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.tokenize.BPETokenizerFactory
  Creates a `Map` with pairs of keys and `ArtifactSerializer`.
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.
createContextGenerator() - Method in class opennlp.tools.sentiment.SentimentFactory
  Creates a new `context generator`.
createDefaultTrainingParameters() - Static method in class opennlp.tools.util.model.ModelUtil
  Creates the default `TrainingParameters` in case they are not provided.
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 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
createManifestEntries() - Method in class opennlp.tools.doccat.DoccatFactory
createManifestEntries() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
createManifestEntries() - Method in class opennlp.tools.tokenize.BPETokenizerFactory
createManifestEntries() - Method in class opennlp.tools.tokenize.TokenizerFactory
createManifestEntries() - Method in class opennlp.tools.util.BaseToolFactory
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
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`.
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.

## 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
decode(List<String>) - Method in class opennlp.tools.namefind.BilouCodec
decode(List<String>) - Method in class opennlp.tools.namefind.BioCodec
decodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
  Decodes the lemma from the word and the induced lemma class.
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
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`.
DefaultPOSContextGenerator - Class in opennlp.tools.postag
  A default `context generator` for a `POSTagger`.
DefaultPOSContextGenerator(int, Dictionary) - Constructor for class opennlp.tools.postag.DefaultPOSContextGenerator
  Deprecated.
  Use `DefaultPOSContextGenerator(Dictionary)` instead.
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`.
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
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 class opennlp.tools.tokenize.DictionaryDetokenizer
detokenize(String[], String) - Method in class opennlp.tools.tokenize.DictionaryDetokenizer
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.
DictionaryDetokenizer - Class in opennlp.tools.tokenize
  A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Constructor for class opennlp.tools.tokenize.DictionaryDetokenizer
  Initializes a `DictionaryDetokenizer` instance.
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
DictionaryStopwordFilter - Class in opennlp.tools.stopword
  An immutable, thread-safe `StopwordFilter` backed by an OpenNLP `Dictionary`.
DictionaryStopwordFilter(InputStream, Charset, boolean) - Constructor for class opennlp.tools.stopword.DictionaryStopwordFilter
  Loads a stopword list from the given input stream and freezes it into an immutable filter.
DictionaryStopwordFilter(Dictionary) - Constructor for class opennlp.tools.stopword.DictionaryStopwordFilter
  Creates an immutable filter from a defensive copy of `source`.
DictionaryStopwordFilter.Builder - Class in opennlp.tools.stopword
  Fluent builder for `DictionaryStopwordFilter`.
digits() - Method in class opennlp.tools.util.featuregen.StringPattern
  Retrieves the number of digits.
DISABLE_CACHE_PROPERTY - Static variable in class opennlp.tools.util.featuregen.CachedFeatureGenerator
  System property to disable the feature cache globally.
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`.
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.
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`.
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
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.
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`.
DONE - Static variable in class opennlp.tools.parser.treeinsert.Parser
  Outcome used when a constituent needs an no additional parent node/building.
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

## 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
encode(Span[], int) - Method in class opennlp.tools.namefind.BilouCodec
encode(Span[], int) - Method in class opennlp.tools.namefind.BioCodec
encodeLemmas(String[], String[]) - Static method in class opennlp.tools.lemmatizer.LemmatizerME
  Encodes the word given its lemmas.
END_OF_WORD - Static variable in class opennlp.tools.tokenize.BPETokenizer
  Suffix appended to the last symbol of each word during BPE encoding to distinguish word-final characters from word-internal ones.
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
EntityLinkerFactory - Class in opennlp.tools.entitylinker
  Generates a `EntityLinker` instances via a `properties` file configuration.
EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory
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.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 record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Indicates whether some other object is "equal to" this one.
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.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.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 record class opennlp.tools.tokenize.BPETokenizer.SymbolPair
  Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class opennlp.tools.tokenize.TokenizerModel
equals(Object) - Method in class opennlp.tools.util.StringList
equals(Object) - Method in class opennlp.tools.util.Version
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<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<SentimentSample>, int) - Method in class opennlp.tools.sentiment.SentimentCrossValidator
  Performs 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.
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
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
EventTraceStream - Class in opennlp.tools.util
EventTraceStream(ObjectStream<Event>, Writer) - Constructor for class opennlp.tools.util.EventTraceStream
  Initializes an `EventTraceStream`.
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 class opennlp.tools.doccat.NGramFeatureGenerator

## 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
FeatureGeneratorUtil - Class in opennlp.tools.util.featuregen
  This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Constructor for class opennlp.tools.util.featuregen.FeatureGeneratorUtil
filter(String[]) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter
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
  Deprecated.
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.
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
forLanguage(String) - Static method in class opennlp.tools.stopword.StopwordLists
  Returns a case-insensitive `StopwordFilter` for the given ISO 639 language code.
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

## G

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.
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
GenericModelSerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `models`.
GenericModelSerializer() - Constructor for class opennlp.tools.util.model.GenericModelSerializer
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.util.LastResultOwnerOrThreadLocal
  Returns the last stored value for the calling thread, or `null` if none.
get() - Method in class opennlp.tools.util.OwnerOrPerThreadState
  Returns the state object for the calling thread (owner or per-thread slot).
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
getAllPosTags() - Method in class opennlp.tools.postag.POSTaggerME
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
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
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
getAttachModel() - Method in class opennlp.tools.parser.ParserModel
getAvailableModels() - Static method in class opennlp.tools.util.DownloadUtil
getBestCategory(double[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getBestSentiment(double[]) - Method in class opennlp.tools.sentiment.SentimentME
  Returns the best chosen sentiment for the given probability distribution.
getBool(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBool(String, boolean) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBuildModel() - Method in class opennlp.tools.parser.ParserModel
getCachedFeatureGenerator() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
getCategory(int) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getCheckModel() - Method in class opennlp.tools.parser.ParserModel
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.
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
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 class opennlp.tools.sentiment.SentimentContextGenerator
  Returns the context.
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 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(CharSequence) - Method in class opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
getContext(CharSequence, int) - Method in class opennlp.tools.sentdetect.DefaultSDContextGenerator
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.sentiment.SentimentContextGenerator
  Returns the context
getContext(String, int) - Method in class opennlp.tools.tokenize.DefaultTokenContextGenerator
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.
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
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.
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()`.
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.
getDescriptorElements(InputStream) - Static method in class opennlp.tools.util.featuregen.GeneratorFactory
  Provides a `List` with all the elements in the xml feature descriptor.
getDictMap() - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
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
getDouble(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDouble(String, double) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getEndOfSentenceScanner() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEosCharacters() - Method in class opennlp.tools.sentdetect.SentenceModel
getEOSCharacters() - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getEOSCharacters() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getEOSCharacters(String) - Method in class opennlp.tools.sentdetect.lang.Factory
getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Static method in class opennlp.tools.ml.TrainerFactory
  Retrieves an `EventModelSequenceTrainer` that fits the given parameters.
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.
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.sentiment.SentimentModel
getFactory() - Method in class opennlp.tools.tokenize.BPEModel
getFactory() - Method in class opennlp.tools.tokenize.TokenizerModel
getFeatureGenerators() - Method in class opennlp.tools.doccat.DoccatFactory
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.sentdetect.SDCrossValidator
getFMeasure() - Method in class opennlp.tools.sentdetect.SentenceDetectorEvaluator
getFMeasure() - Method in class opennlp.tools.sentiment.SentimentCrossValidator
  Returns the F-Measure
getFMeasure() - Method in class opennlp.tools.sentiment.SentimentEvaluator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerCrossValidator
getFMeasure() - Method in class opennlp.tools.tokenize.TokenizerEvaluator
getGenerators() - Method in class opennlp.tools.util.featuregen.AggregatedFeatureGenerator
  Retrieves a `Collections` of all aggregated `feature generators`.
getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper
getGuessedFormat() - Method in class opennlp.tools.postag.POSTagFormatMapper.NoOp
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.en.HeadRules
getHead(Parse[], String) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getHeadRules() - Method in class opennlp.tools.parser.ParserModel
getIndex(String) - Method in class opennlp.tools.doccat.DocumentCategorizerME
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.AbstractParserEventStream
getInitialChunks(Parse) - Static method in class opennlp.tools.parser.ChunkSampleStream
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
getLanguage() - Method in class opennlp.tools.util.model.BaseModel
getLanguageCode() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
getLanguageCode() - Method in class opennlp.tools.tokenize.BPETokenizerFactory
getLanguageCode() - Method in class opennlp.tools.tokenize.TokenizerFactory
getLemmatizerSequenceModel() - Method in class opennlp.tools.lemmatizer.LemmatizerModel
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.
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 class opennlp.tools.util.model.BaseModel
getMatchingPatterns() - Method in class opennlp.tools.namefind.RegexNameFinder
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.sentiment.SentimentModel
getMaxentModel() - Method in class opennlp.tools.tokenize.TokenizerModel
getMaxLength() - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
getMaxTokenCount() - Method in class opennlp.tools.dictionary.Dictionary
getMerges() - Method in class opennlp.tools.tokenize.BPEModel
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
getNameFinderSequenceModel() - Method in class opennlp.tools.namefind.TokenNameFinderModel
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
getNumberOfCacheHits() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
  Deprecated.
  Cache statistics are no longer tracked.
getNumberOfCacheMisses() - Method in class opennlp.tools.util.featuregen.CachedFeatureGenerator
  Deprecated.
  Cache statistics are no longer tracked.
getNumberOfCategories() - Method in class opennlp.tools.doccat.DocumentCategorizerME
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
getParserChunkerModel() - Method in class opennlp.tools.parser.ParserModel
getParserTaggerModel() - Method in class opennlp.tools.parser.ParserModel
getParserType() - Method in class opennlp.tools.parser.ParserModel
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(CharSequence) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(StringBuffer) - Method in class opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPosSequenceModel() - Method in class opennlp.tools.postag.POSModel
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.
getPunctuationTags() - Method in class opennlp.tools.parser.lang.en.HeadRules
getPunctuationTags() - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getRegexMap() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
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.
getSDContextGenerator() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
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.
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
getSpanType() - Method in class opennlp.tools.namefind.RegexNameFinder
getStr(String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStr(String, String) - Method in class opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getSupportedLanguages() - Method in class opennlp.tools.langdetect.LanguageDetectorME
getSupportedLanguages() - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
  Deprecated.
getTagDictionary() - Method in class opennlp.tools.postag.POSTaggerFactory
getTags(String) - Method in class opennlp.tools.postag.POSDictionary
  Returns a list of valid tags for the specified `word`.
getTestSampleStream() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
  Retrieves the `ObjectStream` over the test/evaluations elements and poisons this `CrossValidationPartitioner.TrainingSampleStream`.
getToken(int) - Method in class opennlp.tools.util.StringList
getTokenizer() - Method in class opennlp.tools.sentiment.SentimentFactory
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.
getTrainerType(Parameters) - Static method in class opennlp.tools.ml.TrainerFactory
  Determines the `TrainerFactory.TrainerType` based on the `Parameters.ALGORITHM_PARAM` value.
getType() - Method in interface opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
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.
getVersion() - Method in class opennlp.tools.util.model.BaseModel
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
Glove - Class in opennlp.tools.util.wordvector
  GloVe is an unsupervised learning algorithm for obtaining vector representations for words.
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.dictionary.Dictionary
hashCode() - Method in record class opennlp.tools.dictionary.serializer.Entry
  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.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.ParserModel
hashCode() - Method in class opennlp.tools.postag.POSDictionary
hashCode() - Method in class opennlp.tools.postag.POSModel
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 record class opennlp.tools.tokenize.BPETokenizer.SymbolPair
  Returns a hash code value for this object.
hashCode() - Method in class opennlp.tools.tokenize.TokenizerModel
hashCode() - Method in class opennlp.tools.util.StringList
hashCode() - Method in class opennlp.tools.util.Version
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.
HeadRules - Class in opennlp.tools.parser.lang.en
  Class for storing the English `HeadRules` 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

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 - 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.
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(Parameters, Map<String, String>) - Method in class opennlp.tools.tokenize.BPETokenizerTrainer
init(Parameters, Map<String, String>, TrainingConfiguration) - Method in class opennlp.tools.tokenize.BPETokenizerTrainer
insert(Entry) - Method in interface opennlp.tools.dictionary.serializer.EntryInserter
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`.
instantiateSequenceCodec(String) - Static method in class opennlp.tools.namefind.TokenNameFinderFactory
  Initializes a `SequenceCodec` instance via given parameters.
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.
IRISH - Enum constant in enum class opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
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 class opennlp.tools.stopword.DictionaryStopwordFilter
isCaseSensitive() - Method in class opennlp.tools.util.StringList
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
isSnapshot() - Method in class opennlp.tools.util.Version
isStopword(CharSequence) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter
isStopword(String...) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter
isUseAlphaNumericOptimization() - Method in class opennlp.tools.tokenize.TokenizerFactory
isUseTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceDetectorFactory
isValid(Parameters) - Static method in class opennlp.tools.ml.TrainerFactory
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
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

## J

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

## L

labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.en.HeadRules
labelGaps(Stack<Constituent>) - Method in class opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
LanguageDetectorConfig - Class in opennlp.tools.langdetect
LanguageDetectorConfig() - Constructor for class opennlp.tools.langdetect.LanguageDetectorConfig
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`.
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`.
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
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.
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`.
languages() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns the value of the `languages` record component.
LAST - Static variable in class opennlp.tools.namefind.BilouCodec
LastResultOwnerOrThreadLocal<T> - Class in opennlp.tools.util
  Stores a per-thread "last result" value for APIs that expose probabilities or other data from the most recent decode call (e.g.
LastResultOwnerOrThreadLocal() - Constructor for class opennlp.tools.util.LastResultOwnerOrThreadLocal
left() - Method in record class opennlp.tools.tokenize.BPETokenizer.SymbolPair
  Returns the value of the `left` record component.
LEMMA_NUMBER - Static variable in class opennlp.tools.lemmatizer.LemmatizerME
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 class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(String[], String[]) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
  Deprecated.
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.LemmatizerME
lemmatize(List<String>, List<String>) - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
  Deprecated.
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`.
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.
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`.
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`.
length() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns the value of the `length` record component.
load(InputStream, Charset) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
  Reads one-per-line stopword entries from `in` (whitespace separates tokens of a multi-word entry; blank and `#`-prefixed lines are skipped) and schedules them for addition.
load(InputStream, Charset, boolean) - Static method in class opennlp.tools.stopword.StopwordLists
  Loads a stopword filter from a caller-supplied input stream.
loadUnchecked(InputStream, Charset, boolean) - Static method in class opennlp.tools.stopword.DictionaryStopwordFilter
  Convenience factory equivalent to `DictionaryStopwordFilter(InputStream, Charset, boolean)` but wrapping any `IOException` thrown during reading in an `UncheckedIOException`.
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`.
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

mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Static method in class opennlp.tools.parser.chunking.Parser
MGRS - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
ModelUtil - Class in opennlp.tools.util.model
  Utility class for handling of `models`.
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.
MutableInt - Class in opennlp.tools.util
  This is a non-thread safe mutable int.
MutableInt(int) - Constructor for class opennlp.tools.util.MutableInt

## N

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
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.
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`.
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_PREFIX - Static variable in class opennlp.tools.util.featuregen.WindowFeatureGenerator
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`.
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
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.
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 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
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

opennlp.tools.chunker - package opennlp.tools.chunker
opennlp.tools.dictionary - package opennlp.tools.dictionary
opennlp.tools.dictionary.serializer - package opennlp.tools.dictionary.serializer
opennlp.tools.doccat - package opennlp.tools.doccat
opennlp.tools.entitylinker - package opennlp.tools.entitylinker
opennlp.tools.langdetect - package opennlp.tools.langdetect
opennlp.tools.languagemodel - package opennlp.tools.languagemodel
opennlp.tools.lemmatizer - package opennlp.tools.lemmatizer
opennlp.tools.log - package opennlp.tools.log
opennlp.tools.ml - package opennlp.tools.ml
opennlp.tools.namefind - package opennlp.tools.namefind
opennlp.tools.ngram - package opennlp.tools.ngram
opennlp.tools.parser - package opennlp.tools.parser
opennlp.tools.parser.chunking - package opennlp.tools.parser.chunking
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
opennlp.tools.postag - package opennlp.tools.postag
opennlp.tools.sentdetect - package opennlp.tools.sentdetect
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.sentiment - package opennlp.tools.sentiment
opennlp.tools.stemmer - package opennlp.tools.stemmer
opennlp.tools.stemmer.snowball - package opennlp.tools.stemmer.snowball
opennlp.tools.stopword - package opennlp.tools.stopword
opennlp.tools.tokenize - package opennlp.tools.tokenize
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
opennlp.tools.util.eval - package opennlp.tools.util.eval
opennlp.tools.util.featuregen - package opennlp.tools.util.featuregen
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.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.
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
OwnerOrPerThreadState<S> - Class in opennlp.tools.util
  Routes mutable per-invocation state either to a single owner-thread field or to `ThreadLocal` storage once multiple threads use the same enclosing instance.
OwnerOrPerThreadState(Supplier<S>, Consumer<S>) - Constructor for class opennlp.tools.util.OwnerOrPerThreadState

## P

parse(InputStream) - Static method in class opennlp.tools.util.wordvector.Glove
  Parses a glove vector plain text file.
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(Parse) - Method in class opennlp.tools.parser.AbstractBottomUpParser
parse(Parse, int) - Method in class opennlp.tools.parser.AbstractBottomUpParser
parseOneEntryPerLine(Reader) - Static method in class opennlp.tools.dictionary.Dictionary
  Reads a `Dictionary` which has one entry per line.
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(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.
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
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`.
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`.
ParseSampleStream - Class in opennlp.tools.parser
ParseSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.parser.ParseSampleStream
  Initializes a `instance`.
pathLengths - Static variable in class opennlp.tools.util.featuregen.BrownTokenClasses
PENN - Enum constant in enum class opennlp.tools.postag.POSTagFormat
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
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
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
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`.
POSModelSerializer - Class in opennlp.tools.util.model
  An `ArtifactSerializer` implementation for `models`.
POSModelSerializer() - Constructor for class opennlp.tools.util.model.POSModelSerializer
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
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`.
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
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`.
POSTaggerME(POSModel, POSTagFormat, int) - Constructor for class opennlp.tools.postag.POSTaggerME
  Initializes a `POSTaggerME` with the provided `model` and explicit cache configuration.
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
predict(String) - Method in class opennlp.tools.sentiment.SentimentME
predict(String[]) - Method in class opennlp.tools.sentiment.SentimentME
predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
predictLanguage(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
  Deprecated.
predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.LanguageDetectorME
predictLanguages(CharSequence) - Method in class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
  Deprecated.
predictLemmas(int, String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
  Predict all possible lemmas (using a default upper bound).
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).
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
probabilities(String[]) - Method in class opennlp.tools.sentiment.SentimentME
  Returns the probability distribution over sentiment labels for the given tokens.
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
  The sequence was determined based on the previous call to `ChunkerME.chunk(String[], String[])`.
probs() - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
probs() - Method in class opennlp.tools.lemmatizer.LemmatizerME
  The sequence was determined based on the previous call to `LemmatizerME.lemmatize(String[], String[])`.
probs() - Method in class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
  Deprecated.
probs() - Method in class opennlp.tools.namefind.NameFinderME
  The sequence was determined based on the previous call to `NameFinderME.find(String[])`.
probs() - Method in class opennlp.tools.namefind.ThreadSafeNameFinderME
  Deprecated.
probs() - Method in class opennlp.tools.postag.POSTaggerME
  The sequence was determined based on the previous call to `POSTaggerME.tag(String[])`.
probs() - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
probs() - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  The sequence was determined based on the previous call to `SentenceDetectorME.sentDetect(CharSequence)`.
probs() - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
probs() - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
probs() - Method in class opennlp.tools.tokenize.TokenizerME
  The sequence was determined based on the previous call to `TokenizerME.tokenizePos(String)`.
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.
ptEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
put(String, String...) - Method in class opennlp.tools.postag.POSDictionary
put(StringList) - Method in class opennlp.tools.dictionary.Dictionary
  Adds the tokens to the dictionary as one new entry.

## R

read() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
read() - Method in class opennlp.tools.chunker.ChunkSampleStream
read() - Method in class opennlp.tools.doccat.DocumentSampleStream
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.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.sentiment.SentimentSampleStream
  Reads the text.
read() - Method in class opennlp.tools.sentiment.SentimentSampleTypeFilter
read() - Method in class opennlp.tools.stopword.StopwordFilterStream
  Reads the next sample from the wrapped stream and returns it with stopwords removed.
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.CollectionObjectStream
read() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
read() - Method in class opennlp.tools.util.EventTraceStream
read(InputStream) - Static method in class opennlp.tools.util.model.ModelUtil
  Reads from the provided `InputStream` into a byte array.
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.
Relationship to other thread-safety patterns in this PR - Search tag in class opennlp.tools.util.LastResultOwnerOrThreadLocal
  Section
remove() - Method in class opennlp.tools.tokenize.lang.en.TokenSampleStream
remove(CharSequence) - Method in class opennlp.tools.ngram.NGramCharModel
  Removes the specified `ngram` is from a `NGramCharModel`.
remove(String...) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
  Schedules removal of one entry (applied after all adds at `DictionaryStopwordFilter.Builder.build()` time).
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.
removeAll(Collection<String[]>) - Method in class opennlp.tools.stopword.DictionaryStopwordFilter.Builder
  Schedules a bulk of removals.
replaceNewLineEscapeTags(String) - Static method in class opennlp.tools.sentdetect.SentenceSampleStream
reset() - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
reset() - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
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.CollectionObjectStream
reset() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
  Resets the training sample.
reset() - Method in class opennlp.tools.util.FilterObjectStream
right() - Method in record class opennlp.tools.tokenize.BPETokenizer.SymbolPair
  Returns the value of the `right` record component.
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
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

scoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
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.
sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.SentenceDetectorME
  Detects sentences in given input `CharSequence`..
sentDetect(CharSequence) - Method in class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
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
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.
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.
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`.
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
SentimentContextGenerator - Class in opennlp.tools.sentiment
  Class for using a Context Generator for Sentiment Analysis.
SentimentContextGenerator() - Constructor for class opennlp.tools.sentiment.SentimentContextGenerator
SentimentContextGenerator(AdaptiveFeatureGenerator[]) - Constructor for class opennlp.tools.sentiment.SentimentContextGenerator
SentimentCrossValidator - Class in opennlp.tools.sentiment
  Class for performing cross validation on the Sentiment Analysis Parser.
SentimentCrossValidator(String, TrainingParameters, SentimentFactory, SentimentEvaluationMonitor[]) - Constructor for class opennlp.tools.sentiment.SentimentCrossValidator
  Constructor
SentimentEvaluator - Class in opennlp.tools.sentiment
  The `SentimentEvaluator` measures the performance of the given `SentimentME` with the provided reference `SentimentSample`s.
SentimentEvaluator(SentimentME, SentimentEvaluationMonitor...) - Constructor for class opennlp.tools.sentiment.SentimentEvaluator
  Initializes the current instance.
SentimentEventStream - Class in opennlp.tools.sentiment
  Class for creating events for Sentiment Analysis that is later sent to MaxEnt.
SentimentEventStream(ObjectStream<SentimentSample>, SentimentContextGenerator) - Constructor for class opennlp.tools.sentiment.SentimentEventStream
  Instantiates a `event stream`.
SentimentFactory - Class in opennlp.tools.sentiment
  Class for creating sentiment factories for training.
SentimentFactory() - Constructor for class opennlp.tools.sentiment.SentimentFactory
SentimentME - Class in opennlp.tools.sentiment
  A `SentimentDetector` implementation for creating and using maximum-entropy-based Sentiment Analysis models.
SentimentME(SentimentModel) - Constructor for class opennlp.tools.sentiment.SentimentME
  Instantiates a `SentimentME` with the specified model.
SentimentModel - Class in opennlp.tools.sentiment
  Class for the basis of the Sentiment Analysis model.
SentimentModel(File) - Constructor for class opennlp.tools.sentiment.SentimentModel
  Instantiates a `SentimentModel` model via a `File` reference.
SentimentModel(InputStream) - Constructor for class opennlp.tools.sentiment.SentimentModel
  Instantiates a `SentimentModel` model via a `InputStream` reference.
SentimentModel(String, MaxentModel, Map<String, String>, SentimentFactory) - Constructor for class opennlp.tools.sentiment.SentimentModel
  Instantiates a `SentimentModel` model.
SentimentModel(URL) - Constructor for class opennlp.tools.sentiment.SentimentModel
  Instantiates a `SentimentModel` model via a `URL` reference.
SentimentSampleStream - Class in opennlp.tools.sentiment
  Class for converting Strings through Data Stream to `SentimentSample` using tokenised text.
SentimentSampleStream(ObjectStream<String>) - Constructor for class opennlp.tools.sentiment.SentimentSampleStream
  Instantiates a `SentimentSampleStream` object.
SentimentSampleTypeFilter - Class in opennlp.tools.sentiment
  Class for creating a type filter.
SentimentSampleTypeFilter(String[], ObjectStream<SentimentSample>) - Constructor for class opennlp.tools.sentiment.SentimentSampleTypeFilter
  Constructor
SentimentSampleTypeFilter(Set<String>, ObjectStream<SentimentSample>) - Constructor for class opennlp.tools.sentiment.SentimentSampleTypeFilter
  Instantiates a `SentimentSampleTypeFilter` object.
sentPosDetect(CharSequence) - Method in class opennlp.tools.sentdetect.NewlineSentenceDetector
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
  Deprecated.
SEQUENCE_TRAINER - Enum constant in enum class opennlp.tools.ml.TrainerFactory.TrainerType
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, 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
set(T) - Method in class opennlp.tools.util.LastResultOwnerOrThreadLocal
  Records `value` as the last result for the calling thread.
setChunkSize(int) - Method in class opennlp.tools.langdetect.LanguageDetectorConfig
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
setDictionary(String, Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setDictionary(Dictionary) - Method in class opennlp.tools.util.featuregen.DictionaryFeatureGenerator
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.
setFeatureGenerators(FeatureGenerator[]) - Method in class opennlp.tools.doccat.DoccatFactory
setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.SimpleTokenizer
setKeepNewLines(boolean) - Method in class opennlp.tools.tokenize.TokenizerME
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
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.
setSpanType(String) - Method in class opennlp.tools.namefind.RegexNameFinder
setTagDictionary(TagDictionary) - Method in class opennlp.tools.postag.POSTaggerFactory
setValue(String, String) - Method in class opennlp.tools.dictionary.serializer.Attributes
  Sets a key/value pair.
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
SimpleTokenizer - Class in opennlp.tools.tokenize
  A basic `Tokenizer` implementation which performs tokenization using character classes.
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
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
sortedScoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
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
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.
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(String) - Method in class opennlp.tools.stemmer.PorterStemmer
  Stem a word provided as a String.
StopwordFilteringTokenizer - Class in opennlp.tools.stopword
  A `Tokenizer` decorator which delegates tokenization to a wrapped `Tokenizer` and then removes any tokens identified as stopwords by the supplied `StopwordFilter`.
StopwordFilteringTokenizer(Tokenizer, StopwordFilter) - Constructor for class opennlp.tools.stopword.StopwordFilteringTokenizer
  Initializes a `StopwordFilteringTokenizer`.
StopwordFilterStream - Class in opennlp.tools.stopword
  A `FilterObjectStream` which removes stopwords from each `String[]` sample produced by an underlying `ObjectStream<String[]>`.
StopwordFilterStream(ObjectStream<String[]>, StopwordFilter) - Constructor for class opennlp.tools.stopword.StopwordFilterStream
  Initializes a `StopwordFilterStream`.
StopwordLists - Class in opennlp.tools.stopword
  Static factory for `StopwordFilter` instances backed by bundled language-specific stopword resources or caller-supplied input streams.
stopwords() - Method in class opennlp.tools.stopword.DictionaryStopwordFilter
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.
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
supportedLanguages() - Static method in class opennlp.tools.stopword.StopwordLists
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
SymbolPair(String, String) - Constructor for record class opennlp.tools.tokenize.BPETokenizer.SymbolPair
  Creates a new `BPETokenizer.SymbolPair`.

## T

tag(int, String[]) - Method in class opennlp.tools.postag.POSTaggerME
  Returns at most the specified `numTaggings` for the specified `sentence`.
tag(String[]) - Method in class opennlp.tools.postag.POSTaggerME
tag(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
tag(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
tag(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
thEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
ThreadSafeChunkerME - Class in opennlp.tools.chunker
  Deprecated.
  As of OPENNLP-1816, `ChunkerME` is itself thread-safe. Use it directly instead.
ThreadSafeChunkerME(ChunkerModel) - Constructor for class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
  Initializes a `ThreadSafeChunkerME` with the specified `model`.
ThreadSafeLanguageDetectorME - Class in opennlp.tools.langdetect
  Deprecated.
  As of OPENNLP-1816, `LanguageDetectorME` is itself thread-safe. Use it directly instead.
ThreadSafeLanguageDetectorME(LanguageDetectorModel) - Constructor for class opennlp.tools.langdetect.ThreadSafeLanguageDetectorME
  Deprecated.
  Initializes a `ThreadSafeLanguageDetectorME` with the specified `model`.
ThreadSafeLemmatizerME - Class in opennlp.tools.lemmatizer
  Deprecated.
  As of OPENNLP-1816, `LemmatizerME` is itself thread-safe. Use it directly instead.
ThreadSafeLemmatizerME(LemmatizerModel) - Constructor for class opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
  Deprecated.
  Initializes a `ThreadSafeLemmatizerME` with the specified `model`.
ThreadSafeNameFinderME - Class in opennlp.tools.namefind
  Deprecated.
  As of OPENNLP-1816, `NameFinderME` is itself thread-safe. Use it directly instead.
ThreadSafeNameFinderME(TokenNameFinderModel) - Constructor for class opennlp.tools.namefind.ThreadSafeNameFinderME
  Deprecated.
  Initializes a `ThreadSafeNameFinderME` with the specified `model`.
ThreadSafePOSTaggerME - Class in opennlp.tools.postag
  Deprecated.
  As of OPENNLP-1816, `POSTaggerME` is itself thread-safe. Use it directly instead.
ThreadSafePOSTaggerME(String) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
  Initializes a `ThreadSafePOSTaggerME` by downloading a default model for a given `language`.
ThreadSafePOSTaggerME(String, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
  Initializes a `ThreadSafePOSTaggerME` by downloading a default model for a given `language`.
ThreadSafePOSTaggerME(POSModel) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
  Initializes a `ThreadSafePOSTaggerME` with the specified `model`.
ThreadSafePOSTaggerME(POSModel, POSTagFormat) - Constructor for class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
  Initializes a `ThreadSafePOSTaggerME` with the specified `model`.
ThreadSafeSentenceDetectorME - Class in opennlp.tools.sentdetect
  Deprecated.
  As of OPENNLP-1816, `SentenceDetectorME` is itself thread-safe. Use it directly instead.
ThreadSafeSentenceDetectorME(String) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
  Initializes a `ThreadSafeSentenceDetectorME` by downloading a default model for a given `language`.
ThreadSafeSentenceDetectorME(SentenceModel) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
  Initializes a `ThreadSafeSentenceDetectorME` with the specified `model`.
ThreadSafeSentenceDetectorME(SentenceModel, Dictionary) - Constructor for class opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
  Deprecated.
  Instantiates a `ThreadSafeSentenceDetectorME` with an existing `SentenceModel`.
ThreadSafeTokenizerME - Class in opennlp.tools.tokenize
  Deprecated.
  As of OPENNLP-1816, `TokenizerME` is itself thread-safe. Use it directly instead.
ThreadSafeTokenizerME(String) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
  Initializes a `ThreadSafeTokenizerME` by downloading a default model for a given `language`.
ThreadSafeTokenizerME(TokenizerModel) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
  Initializes a `ThreadSafeTokenizerME` with the specified `model`.
ThreadSafeTokenizerME(TokenizerModel, Dictionary) - Constructor for class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
  Instantiates a `ThreadSafeTokenizerME` with an existing `TokenizerModel`.
toCaseInsensitive() - Method in class opennlp.tools.util.StringList
toCaseSensitive() - Method in class opennlp.tools.util.StringList
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`.
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
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.stopword.StopwordFilteringTokenizer
  Tokenizes the supplied string with the wrapped `Tokenizer` and then removes any tokens which the `StopwordFilter` considers a stopword.
tokenize(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
tokenize(String) - Method in class opennlp.tools.tokenize.TokenizerME
tokenize(String) - Method in class opennlp.tools.tokenize.BPETokenizer
tokenize(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
tokenizePos(String) - Method in class opennlp.tools.stopword.StopwordFilteringTokenizer
  Computes token spans with the wrapped `Tokenizer` and then drops the spans covering any stopword entry according to the `StopwordFilter`.
tokenizePos(String) - Method in class opennlp.tools.tokenize.BPETokenizer
tokenizePos(String) - Method in class opennlp.tools.tokenize.SimpleTokenizer
tokenizePos(String) - Method in class opennlp.tools.tokenize.ThreadSafeTokenizerME
  Deprecated.
tokenizePos(String) - Method in class opennlp.tools.tokenize.TokenizerME
  Tokenizes the string.
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`.
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`.
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.
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`.
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.
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`.
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.
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 Class in opennlp.tools.namefind
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.
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`.
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`.
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 class opennlp.tools.postag.POSTaggerME
topKSequences(String[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.POSTaggerME
topKSequences(String[], Object[]) - Method in class opennlp.tools.postag.ThreadSafePOSTaggerME
  Deprecated.
topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[]) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
topKSequences(String[], String[]) - Method in class opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[], double) - Method in class opennlp.tools.chunker.ThreadSafeChunkerME
  Deprecated.
topKSequences(String[], String[], double) - Method in class opennlp.tools.lemmatizer.LemmatizerME
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.langdetect.LanguageDetectorEvaluator
  Represents this object as human-readable `String`.
toString() - Method in record class opennlp.tools.langdetect.ProbingLanguageDetectionResult
  Returns a string representation of this record class.
toString() - Method in class opennlp.tools.lemmatizer.LemmatizerEvaluator
  Returns this object's human-readable `String` representation.
toString() - Method in class opennlp.tools.ngram.NGramCharModel
toString() - Method in class opennlp.tools.ngram.NGramModel
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.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 record class opennlp.tools.tokenize.BPETokenizer.SymbolPair
  Returns a string representation of this record class.
toString() - Method in class opennlp.tools.util.eval.CrossValidationPartitioner
toString() - Method in class opennlp.tools.util.featuregen.WindowFeatureGenerator
toString() - Method in class opennlp.tools.util.StringList
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.
train(Iterable<String>, int, String) - Method in class opennlp.tools.tokenize.BPETokenizerTrainer
  Learns BPE merge operations from a training corpus and returns a `BPEModel`.
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(String, ObjectStream<SentimentSample>, TrainingParameters, SentimentFactory) - Static method in class opennlp.tools.sentiment.SentimentME
  Trains a `Sentiment Analysis model`.
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<TokenSample>, TokenizerFactory, TrainingParameters) - Static method in class opennlp.tools.tokenize.TokenizerME
  Trains a model for the `TokenizerME`.
TrainerFactory - Class in opennlp.tools.ml
  A factory to initialize `Trainer` instances depending on a trainer type configured via `Parameters`.
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
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
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
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

## U

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
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 class opennlp.tools.sentiment.SentimentContextGenerator
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>, MaxentModel) - Method in class opennlp.tools.chunker.ChunkSampleSequenceStream
updateContext(Sequence<LemmaSample>, MaxentModel) - Method in class opennlp.tools.lemmatizer.LemmaSampleSequenceStream
updateContext(Sequence<NameSample>, MaxentModel) - Method in class opennlp.tools.namefind.NameSampleSequenceStream
updateContext(Sequence<POSSample>, MaxentModel) - Method in class opennlp.tools.postag.POSSampleSequenceStream
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
useTokenEnd() - Method in class opennlp.tools.sentdetect.SentenceModel

## V

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.sentiment.SentimentFactory
  Validates the artifact map --> nothing to validate.
validateArtifactMap() - Method in class opennlp.tools.tokenize.BPETokenizerFactory
  Validates the parsed artifacts.
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
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.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.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.
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.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.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.
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

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
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.
writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil
  Writes the given `MaxentModel` to the specified `OutputStream`.

## X

XmlUtil - Class in opennlp.tools.util
XmlUtil() - Constructor for class opennlp.tools.util.XmlUtil

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