Index (Apache OpenNLP :: Core :: Runtime 3.0.0-M5 API)

A B C D E F G H I J K L M N O P Q R S T U V W X Z
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
ACCENT_FOLD - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Diacritic and accent folding; lossy, script gated, and language-wrong for some languages.
accentFold() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns the value of the accentFold record component.
accentFold() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.ACCENT_FOLD.
accentFold() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with script-gated diacritic folding appended.
accentFold(Set<Character.UnicodeScript>, boolean) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.ACCENT_FOLD restricted to a specific set of scripts, instead of the default Latin/Greek/Cyrillic.
AccentFoldCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that folds diacritics for matching, the multilingual-safe counterpart to a Latin-only ASCII folding filter.
AccentFoldCharSequenceNormalizer(Set<Character.UnicodeScript>, boolean) - Constructor for class opennlp.tools.util.normalizer.AccentFoldCharSequenceNormalizer: Creates an accent-folding normalizer.
accept(int, int) - Method in interface opennlp.tools.tokenize.uax29.WordSegmenter.SegmentConsumer: Accepts one segment.
ACTIVITIES - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Activities: events, sports, games, and arts.
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
ALETTER - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Alphabetic letters.
ALPHANUMERIC - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A token that contains at least one letter (optionally mixed with digits and connectors).
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
analyze(CharSequence) - Method in class opennlp.tools.util.normalizer.TermAnalyzer: Segments text with the UAX #29 word tokenizer and returns one Term per word token, in order.
analyze(String[], String[]) - Method in class opennlp.tools.util.normalizer.TermAnalyzer: Returns one Term per supplied token, attaching the matching part-of-speech tag so that Dimension.LEMMA can be computed.
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
ANIMAL - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: An animal, from the animal-* subgroups.
ANIMALS_AND_NATURE - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Animals & Nature: animals, plants, and nature symbols.
annotate(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiAnnotator: Annotates one symbol.
annotate(Term) - Method in class opennlp.tools.util.normalizer.EmojiAnnotator: Annotates one term, keyed on its original text (see the class note on why the original layer is the one annotations describe).
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>.
at(Dimension) - Method in class opennlp.tools.util.normalizer.Term: Returns the token at dimension.
ATTACH_DAUGHTER - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Static variable in class opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Class in opennlp.tools.parser.treeinsert: Generates predictive contexts for deciding how constituents should be attached.
AttachContextGenerator(Set<String>) - Constructor for class opennlp.tools.parser.treeinsert.AttachContextGenerator: Instantiates an AttachContextGenerator for making decisions about attachments.
attribute(String) - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the value of one attribute with its provenance.
attributes() - Method in record class opennlp.tools.dictionary.serializer.Entry: Returns the value of the attributes record component.
attributes() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: 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
boundaries(CharSequence) - Static method in class opennlp.tools.tokenize.uax29.WordSegmenter: Returns the word boundary character offsets in text, in ascending order, including the boundaries at 0 and text.length().
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
build() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Returns a new TermAnalyzer with this configuration.
build() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns the composed normalizer for the steps added so far.
buildAligned() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns an offset-aware composition of the steps added so far.
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
builder() - Static method in class opennlp.tools.util.normalizer.TermAnalyzer: Returns a new TermAnalyzer.Builder.
builder() - Static method in class opennlp.tools.util.normalizer.TextNormalizer: Returns a new, empty TextNormalizer.Builder.
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.
BulletCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that replaces unambiguous list-bullet characters with a space, so a bullet acts as a token separator rather than sticking to the following word.
BulletCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.BulletCharSequenceNormalizer
bullets() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with list-bullet replacement appended.
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
CachingStemmer - Class in opennlp.tools.stemmer: A Stemmer that memoizes word-to-stem mappings in a bounded per-thread LRU cache.
CachingStemmer(StemmerFactory) - Constructor for class opennlp.tools.stemmer.CachingStemmer: Creates a caching stemmer with the default capacity.
CachingStemmer(StemmerFactory, int) - Constructor for class opennlp.tools.stemmer.CachingStemmer: Creates a caching stemmer.
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
CASE_FOLD - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Case folding; lossy and locale sensitive.
caseFold() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.CASE_FOLD.
caseFold() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with case folding appended.
caseFold(Locale) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.CASE_FOLD using the given locale's case rules (for example Turkish dotted/dotless i), instead of the default Locale.ROOT.
CaseFoldCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that lower cases text for case-insensitive matching.
CaseFoldCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.CaseFoldCharSequenceNormalizer: Creates a normalizer that lower cases using Locale.ROOT.
CaseFoldCharSequenceNormalizer(Locale) - Constructor for class opennlp.tools.util.normalizer.CaseFoldCharSequenceNormalizer: Creates a normalizer that lower cases using the given locale.
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.
category() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the document-category hint, or empty when not annotated.
CATEGORY - Static variable in record class opennlp.tools.util.normalizer.EmojiAnnotation: The attribute key of the document-category hint.
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.
CHMStringDeduplicator - Class in opennlp.tools.util.jvm: A StringInterner implementation by Aleksey Shipilëv with relaxed canonical requirements.
CHMStringDeduplicator() - Constructor for class opennlp.tools.util.jvm.CHMStringDeduplicator: Creates a CHMStringDeduplicator with a probability of 0.5.
CHMStringDeduplicator(double) - Constructor for class opennlp.tools.util.jvm.CHMStringDeduplicator
CHMStringInterner - Class in opennlp.tools.util.jvm: A StringInterner implementation based on ConcurrentHashMap by Aleksey Shipilëv.
CHMStringInterner() - Constructor for class opennlp.tools.util.jvm.CHMStringInterner
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
clearCache() - Method in class opennlp.tools.stemmer.CachingStemmer: Empties the calling thread's cache while keeping its delegate, forcing every subsequent word through a fresh stemming pass.
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.stemmer.CachingStemmer: Removes this thread's payload to prevent classloader leaks in container environments.
clearThreadLocalState() - Method in class opennlp.tools.stemmer.SharingStemmer: Removes this thread's payload to prevent classloader leaks in container environments.
clearThreadLocalState() - Method in class opennlp.tools.stemmer.snowball.SnowballStemmer: Removes this thread's engine 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.
collectFeatures(CharSequence, Collection<String>) - Method in class opennlp.tools.util.normalizer.EmojiAnnotator: Appends this annotator's features for token to features: one entry per present annotation attribute (sentiment, entity type, category, region), each already name-prefixed.
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.
COMPONENT - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Component: skin tone and hair components, not free-standing symbols.
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.
confusable(CharSequence, CharSequence) - Static method in class opennlp.tools.util.normalizer.Confusables: Returns whether left and right are confusable.
CONFUSABLE_FOLD - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Confusable (homoglyph) skeleton folding per UTS #39; lossy, for matching only.
confusableFold() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.CONFUSABLE_FOLD.
Confusables - Class in opennlp.tools.util.normalizer: Computes the Unicode confusable skeleton of text, following the skeleton algorithm defined in UTS #39 (Unicode Security Mechanisms).
ConfusableSkeletonCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that reduces text to its Unicode confusable skeleton (UTS #39).
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
CR - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Carriage return (U+000D).
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.EmojiAnnotationFeatureGeneratorFactory
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 Entrys from the given InputStream and forwards these Entrys 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.EmojiSentimentFactory: Creates a new context generator.
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.EmojiAnnotationFeatureGenerator
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
dash() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.DASH.
dash(CharSequenceNormalizer) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.DASH with a specific normalizer (a custom dash set or target).
DASH - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Unicode dashes folded to the ASCII hyphen-minus.
DashCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that maps every Unicode dash to an ASCII hyphen-minus (U+002D), reusing the cursor based CharClass.dashes() engine.
DashCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.DashCharSequenceNormalizer
dashes() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with dash folding appended.
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_CAPACITY - Static variable in class opennlp.tools.stemmer.CachingStemmer: Covers the high-frequency vocabulary of most corpora while keeping the per-thread footprint small.
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_MAX_TOKEN_LENGTH - Static variable in class opennlp.tools.tokenize.uax29.WordTokenizer: The default maximum token length: 255.
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.
defaultChain() - Static method in class opennlp.tools.util.normalizer.TextNormalizer: Returns a conservative, ready-made normalization chain.
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.
defaultNormalizer() - Method in enum class opennlp.tools.util.normalizer.Dimension: Returns the default character-level normalizer for this dimension, or null for Dimension.ORIGINAL, Dimension.STEM, and Dimension.LEMMA.
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
deserialize(Class<T>, InputStream) - Static method in class opennlp.tools.util.model.BaseModel: Deserializes a BaseModel from the given InputStream using the standard Serializable mechanism, with BaseModel.DESERIALIZE_FILTER applied to reject any class outside the allowlist - including the top-level object itself.
detect(CharSequence, LanguageDetector) - Static method in class opennlp.tools.util.normalizer.NormalizationProfiles: Detects the language of text and returns its profile.
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.
DigitCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that maps Unicode decimal digits to their ASCII equivalents, so for example Arabic-Indic, Devanagari, or fullwidth digits all become 0-9.
DigitCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.DigitCharSequenceNormalizer
digits() - Method in class opennlp.tools.util.featuregen.StringPattern: Retrieves the number of digits.
digits() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with decimal-digit folding appended.
Dimension - Enum Class in opennlp.tools.util.normalizer: A layer of the Term normalization stack, in increasing order of aggressiveness.
dimensions() - Method in class opennlp.tools.util.normalizer.TermAnalyzer: Returns the configured dimensions that are computed eagerly, in pipeline order.
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.
DOUBLE_QUOTE - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: The quotation mark (U+0022).
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

ellipsis() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with ellipsis expansion appended.
EllipsisCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that expands the ellipsis and leader characters to ASCII dots: the horizontal ellipsis (U+2026) to "..." and the two-dot leader (U+2025) to "..".
EllipsisCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EllipsisCharSequenceNormalizer
EMAIL - Enum constant in enum class opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
EMOJI - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: An emoji, emoji sequence, or regional-indicator flag.
EMOJI_FOLD - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Emoji folded to ASCII emoticons where a mapping exists; lossy, for matching only.
EmojiAnnotation - Record Class in opennlp.tools.util.normalizer: The annotation record of one emoji: an extensible per-symbol store of attribute values, each carrying its own provenance.
EmojiAnnotation(String, Map<String, EmojiAnnotation.Value>) - Constructor for record class opennlp.tools.util.normalizer.EmojiAnnotation: Creates a record; normally records come from EmojiAnnotations.lookup(CharSequence).
EmojiAnnotation.Value - Record Class in opennlp.tools.util.normalizer: One attribute value with its provenance, mirroring one row of the bundled data file.
EmojiAnnotationFeatureGenerator - Class in opennlp.tools.util.featuregen: Generates features from the emoji annotation layer for the token at the given index: the project-authored coarse sentiment score (emojiSentiment=2), the entity type (emojiType=HEART), the document category (emojiCategory=SMILEYS_AND_EMOTION), and for flags the ISO 3166 region (emojiRegion=DE).
EmojiAnnotationFeatureGenerator() - Constructor for class opennlp.tools.util.featuregen.EmojiAnnotationFeatureGenerator: Instantiates a generator over the bundled and derived annotation layers.
EmojiAnnotationFeatureGenerator(EmojiAnnotator) - Constructor for class opennlp.tools.util.featuregen.EmojiAnnotationFeatureGenerator: Instantiates a generator over a configured annotator, for example one with a gazetteer join.
EmojiAnnotationFeatureGeneratorFactory - Class in opennlp.tools.util.featuregen: A GeneratorFactory that produces EmojiAnnotationFeatureGenerator instances when EmojiAnnotationFeatureGeneratorFactory.create() is called, for use in a feature generation descriptor:
EmojiAnnotationFeatureGeneratorFactory() - Constructor for class opennlp.tools.util.featuregen.EmojiAnnotationFeatureGeneratorFactory: Instantiates a factory that produces EmojiAnnotationFeatureGenerator instances.
EmojiAnnotationJoin - Interface in opennlp.tools.util.normalizer: The joined-facts layer of the emoji annotation record store: a hook through which facts that live in user-installed data, typically a gazetteer (coordinates, containment chain, GeoNames or Who's On First identifiers), are resolved at run time and merged into an EmojiAnnotation.
EmojiAnnotations - Class in opennlp.tools.util.normalizer: The bundled-facts layer of the emoji annotation record store: license-clean, provenance-tagged attributes intrinsic to a pictograph (name, coarse sentiment, entity type, document category), loaded once from the project-authored emoji-annotations.txt resource.
EmojiAnnotator - Class in opennlp.tools.util.normalizer: Assembles one EmojiAnnotation per symbol from bundled facts (EmojiAnnotations), derived facts (EmojiFlags), and optional joined facts (EmojiAnnotationJoin).
EmojiAnnotator() - Constructor for class opennlp.tools.util.normalizer.EmojiAnnotator: Creates an annotator over the bundled and derived layers only.
EmojiAnnotator(EmojiAnnotationJoin) - Constructor for class opennlp.tools.util.normalizer.EmojiAnnotator: Creates an annotator that also resolves joined facts through join.
EmojiCategory - Enum Class in opennlp.tools.util.normalizer: The document-category hint of an annotated emoji, one constant per group header of the upstream Unicode emoji-test.txt (Emoji Keyboard/Display Test Data for UTS #51).
EmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: Deprecated, for removal: This API element is subject to removal in a future version.
Replaces every supplementary-plane code point with a space, not only emoji. Use EmojiToEmoticonCharSequenceNormalizer instead.
EmojiCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer: Deprecated.
EmojiEntityType - Enum Class in opennlp.tools.util.normalizer: The coarse entity type of an annotated emoji, a small project-authored taxonomy assigned from the subgroup headers of the upstream Unicode emoji-test.txt (Emoji Keyboard/Display Test Data for UTS #51): for example the face-smiling and face-concerned subgroups map to EmojiEntityType.FACE and transport-ground maps to EmojiEntityType.VEHICLE.
EmojiFeatureGenerator - Class in opennlp.tools.doccat: Generates document features from the emoji annotation layer: for every annotated token the project-authored coarse sentiment score (emojiSentiment=2), the entity type (emojiType=HEART), the document category hint (emojiCategory=SMILEYS_AND_EMOTION), and for flags the ISO 3166 region (emojiRegion=DE).
EmojiFeatureGenerator() - Constructor for class opennlp.tools.doccat.EmojiFeatureGenerator: Instantiates a generator over the bundled and derived annotation layers.
EmojiFeatureGenerator(EmojiAnnotator) - Constructor for class opennlp.tools.doccat.EmojiFeatureGenerator: Instantiates a generator over a configured annotator, for example one with a gazetteer join.
EmojiFlags - Class in opennlp.tools.util.normalizer: The derived-facts layer of the emoji annotation record store: decodes flag emoji to ISO 3166 codes purely from the code point sequence, with no data file.
emojiFold() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.EMOJI_FOLD, folding emoji to ASCII emoticons.
EmojiSentimentContextGenerator - Class in opennlp.tools.sentiment: A SentimentContextGenerator that adds emoji annotation features to the default token context: for every annotated token the project-authored coarse sentiment score (emojiSentiment=2), the entity type (emojiType=HEART), the category (emojiCategory=SMILEYS_AND_EMOTION), and for flags the region (emojiRegion=DE).
EmojiSentimentContextGenerator() - Constructor for class opennlp.tools.sentiment.EmojiSentimentContextGenerator: Instantiates a context generator over the bundled and derived annotation layers.
EmojiSentimentContextGenerator(EmojiAnnotator) - Constructor for class opennlp.tools.sentiment.EmojiSentimentContextGenerator: Instantiates a context generator over a configured annotator, for example one with a gazetteer join.
EmojiSentimentFactory - Class in opennlp.tools.sentiment: A SentimentFactory whose context generator adds emoji annotation features (see EmojiSentimentContextGenerator).
EmojiSentimentFactory() - Constructor for class opennlp.tools.sentiment.EmojiSentimentFactory: Instantiates a factory whose context generator adds emoji annotation features.
emojiToEmoticon() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with emoji-to-emoticon folding appended.
EmojiToEmoticonCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that folds emoji to ASCII emoticons, using the bundled emoji-emoticons.txt mapping (for example U+1F642 SLIGHTLY SMILING FACE to :)).
emoticonToEmoji() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with emoticon-to-emoji folding appended.
EmoticonToEmojiCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that folds ASCII emoticons to emoji, using the bundled emoji-emoticons.txt mapping (for example :-) to U+1F642 SLIGHTLY SMILING FACE).
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
ENTITY_TYPE - Static variable in record class opennlp.tools.util.normalizer.EmojiAnnotation: The attribute key of the coarse entity type.
EntityLinkerFactory - Class in opennlp.tools.entitylinker: Generates a EntityLinker instances via a properties file configuration.
EntityLinkerFactory() - Constructor for class opennlp.tools.entitylinker.EntityLinkerFactory
entityType() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the coarse entity type, or empty when not annotated.
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 record class opennlp.tools.tokenize.uax29.WordToken: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Indicates whether some other object is "equal to" this one.
equals(Object) - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Indicates whether some other object is "equal to" this one.
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.
EXTEND - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Combining marks and other characters that extend the preceding one.
EXTEND_NUM_LET - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Characters that extend a number or letter sequence (for example the low line).
ExtendedPictographic - Class in opennlp.tools.tokenize.uax29: Checks the Unicode Extended_Pictographic property of a code point.
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.EmojiFeatureGenerator
extractFeatures(String[], Map<String, Object>) - Method in class opennlp.tools.doccat.NGramFeatureGenerator

F

FACE - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: A face pictograph, from the face-* subgroups.
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
FLAG - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: A flag; assigned by the derived layer from the code point sequence itself.
FLAGS - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Flags: flag emoji; assigned by the derived layer, not by bundled rows.
FOOD - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: Food, from the food-* subgroups.
FOOD_AND_DRINK - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Food & Drink: food, drink, and dishware.
forEachSegment(CharSequence, WordSegmenter.SegmentConsumer) - Static method in class opennlp.tools.tokenize.uax29.WordSegmenter: Streams the word segments of text to consumer in order, allocating nothing.
forLanguage(String) - Static method in class opennlp.tools.stopword.StopwordLists: Returns a case-insensitive StopwordFilter for the given ISO 639 language code.
forLanguage(String) - Static method in class opennlp.tools.util.normalizer.NormalizationProfiles: Returns the profile for a language.
FORMAT - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Format characters.
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
FULL_CASE_FOLD - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Unicode full case folding (UTS #21); lossy and expanding (sharp s to ss, the ligatures).
fullCaseFold() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.FULL_CASE_FOLD, Unicode full case folding.
fullCaseFold() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with Unicode full case folding appended.
FullCaseFoldCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that applies Unicode full case folding for case-insensitive matching, as defined by the Default Case Algorithms in Section 3.13 of the Unicode Standard, using the bundled CaseFolding.txt data of the Unicode Character Database.

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
GermanUmlautCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that transliterates German umlauts and the eszett the way German conventionally expands them (DIN 5007-2): a-umlaut to ae, o-umlaut to oe, u-umlaut to ue, and eszett to ss, with the capital umlauts and the capital eszett (U+1E9E) expanded likewise.
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.EmojiSentimentContextGenerator: Returns the context
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.AccentFoldCharSequenceNormalizer: Returns the shared instance with the safe defaults: Latin, Greek, and Cyrillic plus the stroke-letter map.
getInstance() - Static method in class opennlp.tools.util.normalizer.BulletCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.CaseFoldCharSequenceNormalizer: Returns the shared, stateless Locale.ROOT instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.ConfusableSkeletonCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.DashCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.DigitCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.EllipsisCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer: Deprecated.
getInstance() - Static method in class opennlp.tools.util.normalizer.EmojiToEmoticonCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.EmoticonToEmojiCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.FullCaseFoldCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.GermanUmlautCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.InvisibleCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.LineBreakPreservingWhitespaceCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.NfcCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.NfkcCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.QuoteCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.SocialMediaCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance() - Static method in class opennlp.tools.util.normalizer.WhitespaceCharSequenceNormalizer: Returns the shared, stateless instance.
getInstance(Locale) - Static method in class opennlp.tools.util.normalizer.CaseFoldCharSequenceNormalizer: Returns a normalizer for the given locale.
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

HANGUL - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A Hangul token.
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 record class opennlp.tools.tokenize.uax29.WordToken: Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Returns a hash code value for this object.
hashCode() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns a hash code value for this object.
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
HEART - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: A heart pictograph, from the heart subgroup.
HEBREW_LETTER - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Hebrew letters (distinguished so a single quote may join them).
HIRAGANA - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A Hiragana token.
HMStringInterner - Class in opennlp.tools.util.jvm: A StringInterner implementation based on HashMap by Aleksey Shipilëv.
HMStringInterner() - Constructor for class opennlp.tools.util.jvm.HMStringInterner
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

IDEOGRAPHIC - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A token containing a Han ideograph (one ideograph per token under UAX #29 segmentation).
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) - Method in class opennlp.tools.util.jvm.CHMStringDeduplicator
intern(String) - Method in class opennlp.tools.util.jvm.CHMStringInterner
intern(String) - Method in class opennlp.tools.util.jvm.HMStringInterner
intern(String) - Method in class opennlp.tools.util.jvm.JvmStringInterner
intern(String) - Method in class opennlp.tools.util.jvm.NoOpStringInterner
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.
InvisibleCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that removes invisible format and bidirectional control characters that add no textual content and are a common source of noise and spoofing (the byte-order mark, zero width space, word joiner, bidi marks/embeddings/overrides/isolates, the invisible math operators, soft hyphen, and the Arabic letter mark).
InvisibleCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.InvisibleCharSequenceNormalizer
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
is(int) - Static method in class opennlp.tools.tokenize.uax29.ExtendedPictographic: Returns whether a code point has the Extended_Pictographic property.
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
isFlag(CharSequence) - Static method in class opennlp.tools.util.normalizer.EmojiFlags: Returns whether symbol is exactly one well-formed flag emoji.
isInitialCapitalLetter() - Method in class opennlp.tools.util.featuregen.StringPattern
isLoadedFromSerialized() - Method in class opennlp.tools.util.model.BaseModel
ISO_REGION - Static variable in record class opennlp.tools.util.normalizer.EmojiAnnotation: The attribute key of the ISO 3166 region code of a flag emoji.
isoRegion() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the ISO 3166 code of a flag emoji (DE, GB-ENG), or empty when this record is not a flag.
isoRegion(CharSequence) - Static method in class opennlp.tools.util.normalizer.EmojiFlags: Decodes one flag emoji to its ISO 3166 code: a regional indicator pair to the ISO 3166-1 alpha-2 code (DE) and a subdivision tag sequence to the ISO 3166-2 code (GB-ENG).
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

join(String, String) - Method in interface opennlp.tools.util.normalizer.EmojiAnnotationJoin: Resolves joined attribute values for one symbol.
jpnEosCharacters - Static variable in class opennlp.tools.sentdetect.lang.Factory
JvmStringInterner - Class in opennlp.tools.util.jvm: A StringInterner implementation based on String.intern().
JvmStringInterner() - Constructor for class opennlp.tools.util.jvm.JvmStringInterner

K

KATAKANA - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Katakana letters.
KATAKANA - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A Katakana token.

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
LANDMARK - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: A landmark or building, from the place-* subgroups.
language() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns the value of the language record component.
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 LanguageSamples.
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 - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Lemmatization through a configured Lemmatizer.
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.
lemmatize(Lemmatizer) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.LEMMA through the given lemmatizer.
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.
LF - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Line feed (U+000A).
LineBreakPreservingWhitespaceCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: An OffsetAwareNormalizer that collapses runs of Unicode whitespace like WhitespaceCharSequenceNormalizer, but keeps line and paragraph structure: any whitespace run that contains a line break collapses to a single newline (U+000A) instead of a space, and leading and trailing whitespace is trimmed.
LineBreakPreservingWhitespaceCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.LineBreakPreservingWhitespaceCharSequenceNormalizer
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.
lookup(CharSequence) - Static method in class opennlp.tools.util.normalizer.EmojiAnnotations: Returns the bundled annotation record of one emoji.
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

matchingAnalyzer() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns a matching analyzer for this language: NFC, case folding, the language's diacritic fold when it has one, then stemming.
maxTokenLength(int) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Sets the maximum token length of the tokenizer used by TermAnalyzer.analyze(CharSequence).
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
MID_LETTER - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Characters that join letters (for example the middle dot).
MID_NUM - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Characters that join numbers (for example the comma).
MID_NUM_LET - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Characters that join letters or numbers (for example the full stop).
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

name() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the human-readable name (the CLDR short name), or empty when not annotated.
NAME - Static variable in record class opennlp.tools.util.normalizer.EmojiAnnotation: The attribute key of the human-readable name (the CLDR short name).
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.
NEWLINE - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Other mandatory line breaks (vertical tab, form feed, NEL, line/paragraph separators).
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
newStemmer() - Method in class opennlp.tools.stemmer.PorterStemmerFactory
newStemmer() - Method in class opennlp.tools.stemmer.snowball.SnowballStemmerFactory
newStemmer() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns a new Stemmer for this language.
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
nfc() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.NFC.
nfc() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with NFC canonical composition appended.
NFC - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Unicode canonical composition (NFC); lossless under canonical equivalence.
NfcCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that applies Unicode Normalization Form C (canonical composition, UAX #15).
NfcCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NfcCharSequenceNormalizer
nfkc() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.NFKC.
nfkc() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with NFKC compatibility composition appended.
NFKC - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Unicode compatibility composition (NFKC); lossy (for example superscripts to digits).
NfkcCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that applies Unicode Normalization Form KC (compatibility composition, UAX #15).
NfkcCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.NfkcCharSequenceNormalizer
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.
NoOpStringInterner - Class in opennlp.tools.util.jvm: A no-op StringInterner implementation, which does not intern.
NoOpStringInterner() - Constructor for class opennlp.tools.util.jvm.NoOpStringInterner
NormalizationProfile - Record Class in opennlp.tools.util.normalizer: Per-language normalization settings, mirroring how OpenNLP already selects a Snowball stemmer by language.
NormalizationProfile(String, SnowballStemmer.ALGORITHM, CharSequenceNormalizer) - Constructor for record class opennlp.tools.util.normalizer.NormalizationProfile: Validates the components.
NormalizationProfiles - Class in opennlp.tools.util.normalizer: A registry of NormalizationProfiles by language, with detection-based fallback.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.AccentFoldCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.BulletCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.CaseFoldCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ConfusableSkeletonCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.DashCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.DigitCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EllipsisCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer: Deprecated.
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiToEmoticonCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.EmoticonToEmojiCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.FullCaseFoldCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.GermanUmlautCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.InvisibleCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.LineBreakPreservingWhitespaceCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NfcCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NfkcCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.QuoteCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.SocialMediaCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
normalize(CharSequence) - Method in class opennlp.tools.util.normalizer.WhitespaceCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.BulletCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.DashCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.DigitCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.EllipsisCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.EmojiToEmoticonCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.EmoticonToEmojiCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.FullCaseFoldCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.GermanUmlautCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.InvisibleCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.LineBreakPreservingWhitespaceCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.QuoteCharSequenceNormalizer
normalizeAligned(CharSequence) - Method in class opennlp.tools.util.normalizer.WhitespaceCharSequenceNormalizer
normalized() - Method in class opennlp.tools.util.normalizer.Term: Returns the token at the analyzer's final configured dimension; equal to Term.original() when no dimensions were configured.
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
notes() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Returns the value of the notes record component.
NumberCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer implementation that normalizes text in terms of numbers: every maximal run of ASCII digits (0 to 9), that is the longest unbroken stretch of consecutive digits, is replaced by a single space.
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.
NUMERIC - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Decimal digits.
NUMERIC - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A token made up entirely of digits and numeric connectors.

O

OBJECTS - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Objects: clothing, tools, instruments, and other objects.
of(int) - Static method in class opennlp.tools.tokenize.uax29.WordBreakProperty: Returns the WordBreak value of a code point.
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.tokenize.uax29 - package opennlp.tools.tokenize.uax29
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
ordinalOf(int) - Static method in class opennlp.tools.tokenize.uax29.WordBreakProperty: Returns the ordinal of a code point's WordBreak value.
original() - Method in class opennlp.tools.util.normalizer.Term: Returns the original token text.
ORIGINAL - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: The original token text, the source of truth.
OTHER - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: No assigned Word_Break value (the default).
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
peel() - Method in class opennlp.tools.util.normalizer.Term: Returns the token at the dimension just below the final configured one.
PENN - Enum constant in enum class opennlp.tools.postag.POSTagFormat
PEOPLE_AND_BODY - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group People & Body: people, body parts, hand gestures, roles.
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
PorterStemmerFactory - Class in opennlp.tools.stemmer: A thread-safe factory for PorterStemmer instances.
PorterStemmerFactory() - Constructor for class opennlp.tools.stemmer.PorterStemmerFactory
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.

Q

QuoteCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that folds typographic quotation marks to their ASCII forms: the single quotes and apostrophes to ' and the double quotes to ".
QuoteCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.QuoteCharSequenceNormalizer
quotes() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with quotation-mark folding appended.

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
REGIONAL_INDICATOR - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Regional indicator symbols (used in pairs for flag emoji).
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.
segments(CharSequence) - Static method in class opennlp.tools.tokenize.uax29.WordSegmenter: Returns the word segments of text as spans between consecutive boundaries.
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 SentenceSamples.
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
sentiment() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the project-authored coarse sentiment score in -2..2, or empty when not annotated.
SENTIMENT - Static variable in record class opennlp.tools.util.normalizer.EmojiAnnotation: The attribute key of the project-authored coarse sentiment score, an integer in -2..2.
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 SentimentSamples.
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.
SharingStemmer - Class in opennlp.tools.stemmer: A Stemmer that is safe to share across threads by routing each call to a per-thread delegate minted from a StemmerFactory.
SharingStemmer(StemmerFactory) - Constructor for class opennlp.tools.stemmer.SharingStemmer
ShrinkCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer implementation that shrinks repeated whitespace and repeated characters in text, in three steps: Each run of two or more ASCII whitespace characters (tab, line feed, vertical tab, form feed, carriage return, or space) collapses to a single space.
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.
SINGLE_QUOTE - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: The apostrophe (U+0027).
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
skeleton(CharSequence) - Static method in class opennlp.tools.util.normalizer.Confusables: Returns the confusable skeleton of text: NFD(map(NFD(text))) where map replaces each code point with its UTS #39 prototype.
SMILEYS_AND_EMOTION - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Smileys & Emotion: faces, hearts, and other emotion symbols.
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: A Stemmer backed by the generated Snowball engines.
SnowballStemmer(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer: Creates a stemmer for the given algorithm with repeat = 1.
SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmer: Creates a stemmer for the given algorithm and repeat count.
SnowballStemmer.ALGORITHM - Enum Class in opennlp.tools.stemmer.snowball
SnowballStemmerFactory - Class in opennlp.tools.stemmer.snowball: A thread-safe factory that captures a Snowball stemmer configuration for APIs that accept a StemmerFactory.
SnowballStemmerFactory(SnowballStemmer.ALGORITHM) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmerFactory: Creates a factory with repeat = 1.
SnowballStemmerFactory(SnowballStemmer.ALGORITHM, int) - Constructor for class opennlp.tools.stemmer.snowball.SnowballStemmerFactory: Creates a factory over the given algorithm and repeat count.
SocialMediaCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer implementation that normalizes social media text: hashtags, user handles, retweet markers, emoticons, and repeated laughter.
SocialMediaCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.SocialMediaCharSequenceNormalizer
sortedScoreMap(String[]) - Method in class opennlp.tools.doccat.DocumentCategorizerME
source() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Returns the value of the source record component.
SOUTHEAST_ASIAN - Enum constant in enum class opennlp.tools.tokenize.uax29.WordType: A token in a Southeast Asian script that requires dictionary segmentation (Thai, Lao, ...).
span() - Method in record class opennlp.tools.tokenize.uax29.WordToken: Returns the value of the span record component.
span() - Method in class opennlp.tools.util.normalizer.Term: Returns the source span of this token, or null if it was supplied as a pre-tokenized string.
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.CachingStemmer
stem(CharSequence) - Method in class opennlp.tools.stemmer.PorterStemmer: Stem a word provided as a CharSequence.
stem(CharSequence) - Method in class opennlp.tools.stemmer.SharingStemmer
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.
stem(Stemmer) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.STEM through the given stemmer.
stem(StemmerFactory) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.STEM through a StemmerFactory.
stem(StemmerFactory, int) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.STEM through a StemmerFactory with an explicit stem cache capacity, otherwise identical to TermAnalyzer.Builder.stem(StemmerFactory).
STEM - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Stemming through a configured Stemmer.
stemAll(CharSequence) - Method in class opennlp.tools.stemmer.CachingStemmer
stemAll(CharSequence) - Method in class opennlp.tools.stemmer.SharingStemmer
stemmerAlgorithm() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns the value of the stemmerAlgorithm record component.
stemmerFactory() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns a thread-safe factory for this language's Snowball stemmer.
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 Strings.
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.
stripInvisible() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with invisible/bidi control stripping appended.
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
supportedLanguages() - Static method in class opennlp.tools.util.normalizer.NormalizationProfiles: Returns the ISO 639-3 codes of the supported languages.
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
symbol() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns the value of the symbol record component.
SymbolPair(String, String) - Constructor for record class opennlp.tools.tokenize.BPETokenizer.SymbolPair: Creates a new BPETokenizer.SymbolPair.
SYMBOLS - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Symbols: signs, arrows, punctuation-like and abstract symbols.

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.
Term - Class in opennlp.tools.util.normalizer: One token as a stack of normalization layers.
TermAnalyzer - Class in opennlp.tools.util.normalizer: Builds Terms by segmenting text and applying a configured stack of normalization Dimensions to each token.
TermAnalyzer.Builder - Class in opennlp.tools.util.normalizer: A builder for TermAnalyzer.
text(CharSequence) - Method in record class opennlp.tools.tokenize.uax29.WordToken: Returns the covered text of this token.
TextNormalizer - Class in opennlp.tools.util.normalizer: Entry point for composing normalization steps into a single CharSequenceNormalizer.
TextNormalizer.Builder - Class in opennlp.tools.util.normalizer: A fluent builder that appends normalization steps in order and composes them into one CharSequenceNormalizer via TextNormalizer.Builder.build().
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 StringLists which are in the current NGramModel.
token(int, int, WordType) - Method in interface opennlp.tools.tokenize.uax29.WordTokenizer.TokenHandler: Accepts one word token.
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(CharSequence, WordTokenizer.TokenHandler) - Method in class opennlp.tools.tokenize.uax29.WordTokenizer: Streams the word tokens of text to handler in order, allocating nothing.
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.
tokenize(String) - Method in class opennlp.tools.tokenize.uax29.WordTokenizer: Returns the word tokens of text as strings, in order.
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.
tokenizePos(String) - Method in class opennlp.tools.tokenize.uax29.WordTokenizer: Returns the offset spans of the word tokens of text, in order.
tokenizer(WordTokenizer) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Sets the tokenizer used by TermAnalyzer.analyze(CharSequence).
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.
tokenizeSpans(CharSequence) - Method in class opennlp.tools.tokenize.uax29.WordTokenizer: Computes the offset spans of the word tokens in text, in order.
tokenizeTyped(CharSequence) - Method in class opennlp.tools.tokenize.uax29.WordTokenizer: Returns the word tokens in text, each carrying its WordType, in order.
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 record class opennlp.tools.tokenize.uax29.WordToken: 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 record class opennlp.tools.util.normalizer.EmojiAnnotation: Returns a string representation of this record class.
toString() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Returns a string representation of this record class.
toString() - Method in record class opennlp.tools.util.normalizer.NormalizationProfile: Returns a string representation of this record class.
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
transform(Dimension, CharSequenceNormalizer) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables a character-level dimension with a specific normalizer, overriding its default (for example a locale-specific case fold for a language profile).
TRAVEL_AND_PLACES - Enum constant in enum class opennlp.tools.util.normalizer.EmojiCategory: Upstream group Travel & Places: places, buildings, transport, sky and weather.
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
type() - Method in record class opennlp.tools.tokenize.uax29.WordToken: Returns the value of the type record component.

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 CharSequenceNormalizer 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
value() - Method in record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Returns the value of the value record component.
Value(String, String, String) - Constructor for record class opennlp.tools.util.normalizer.EmojiAnnotation.Value: Creates an instance of a Value record class.
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.
valueOf(String) - Static method in enum class opennlp.tools.tokenize.uax29.WordBreak: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.tokenize.uax29.WordType: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.normalizer.Dimension: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.normalizer.EmojiCategory: Returns the enum constant of this class with the specified name.
valueOf(String) - Static method in enum class opennlp.tools.util.normalizer.EmojiEntityType: 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.
values() - Static method in enum class opennlp.tools.tokenize.uax29.WordBreak: 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.uax29.WordType: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.normalizer.Dimension: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.normalizer.EmojiCategory: Returns an array containing the constants of this enum class, in the order they are declared.
values() - Static method in enum class opennlp.tools.util.normalizer.EmojiEntityType: Returns an array containing the constants of this enum class, in the order they are declared.
VEHICLE - Enum constant in enum class opennlp.tools.util.normalizer.EmojiEntityType: A vehicle, from the transport-* subgroups.
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

whitespace() - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.WHITESPACE.
whitespace() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with Unicode whitespace collapsing appended.
whitespace(CharSequenceNormalizer) - Method in class opennlp.tools.util.normalizer.TermAnalyzer.Builder: Enables Dimension.WHITESPACE with a specific normalizer, choosing the fold target and behavior.
WHITESPACE - Enum constant in enum class opennlp.tools.util.normalizer.Dimension: Unicode whitespace folded to ASCII spaces.
WhitespaceCharSequenceNormalizer - Class in opennlp.tools.util.normalizer: A CharSequenceNormalizer that collapses each run of Unicode whitespace to a single ASCII space and trims the edges, reusing the cursor based CharClass.whitespace() engine.
WhitespaceCharSequenceNormalizer() - Constructor for class opennlp.tools.util.normalizer.WhitespaceCharSequenceNormalizer
whitespacePreservingLineBreaks() - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Returns this builder with whitespace collapsing that preserves line and paragraph breaks appended.
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
with(CharSequenceNormalizer) - Method in class opennlp.tools.util.normalizer.TextNormalizer.Builder: Appends a custom normalizer.
WordBreak - Enum Class in opennlp.tools.tokenize.uax29: The Unicode Word_Break property values, used by the UAX #29 word boundary algorithm.
WordBreakProperty - Class in opennlp.tools.tokenize.uax29: Looks up the Unicode Word_Break property of a code point.
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
WordSegmenter - Class in opennlp.tools.tokenize.uax29: Finds word boundaries in text using the Unicode Text Segmentation algorithm (UAX #29), rules WB1 through WB999.
WordSegmenter.SegmentConsumer - Interface in opennlp.tools.tokenize.uax29: Receives each word segment as the half-open character range [start, end).
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.
WordToken - Record Class in opennlp.tools.tokenize.uax29: A word token produced by WordTokenizer: the character Span into the source text together with its WordType.
WordToken(Span, WordType) - Constructor for record class opennlp.tools.tokenize.uax29.WordToken: Creates an instance of a WordToken record class.
WordTokenizer - Class in opennlp.tools.tokenize.uax29: A word tokenizer built on the Unicode Text Segmentation algorithm (UAX #29).
WordTokenizer() - Constructor for class opennlp.tools.tokenize.uax29.WordTokenizer: Instantiates a tokenizer with the default maximum token length.
WordTokenizer(int) - Constructor for class opennlp.tools.tokenize.uax29.WordTokenizer: Instantiates a tokenizer with the given maximum token length.
WordTokenizer.TokenHandler - Interface in opennlp.tools.tokenize.uax29: Receives each word token as a character range and its type, with no allocation.
WordType - Enum Class in opennlp.tools.tokenize.uax29: The category of a word token.
writeModel(MaxentModel, OutputStream) - Static method in class opennlp.tools.util.model.ModelUtil: Writes the given MaxentModel to the specified OutputStream.
WSEG_SPACE - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Whitespace that segments words (Word_Break=WSegSpace).

X

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

Z

ZWJ - Enum constant in enum class opennlp.tools.tokenize.uax29.WordBreak: Zero width joiner (U+200D).

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