Name | Description | Type | Package | Framework |
AbstractBottomUpParser | 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. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
AbstractContextGenerator | Abstract class containing many of the methods used to generate contexts for parsing. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
AbstractDataIndexer | Abstract class for collecting event and context counts used in training. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
AbstractEndOfSentenceScanner | Abstract class for common methods related to identifying potential ends of sentences. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
AbstractEventModelSequenceTrainer | | Class | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
AbstractEventStream | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
AbstractEventTrainer | | Class | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
AbstractModel | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
AbstractModelReader | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
AbstractModelWriter | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
AbstractObjectStream | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
AbstractParserEventStream | Abstract class extended by parser event streams which perform tagging and chunking. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
AbstractSampleStreamFactory | Base class for sample stream factories. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
AbstractSequenceTrainer | | Class | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
AbstractToSentenceSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
AbstractTrainer | | Class | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
AdaptiveFeatureGenerator | An interface for generating features for name entity identification and for updating document level contexts. | Interface | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
ADChunkSampleStream | Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training. | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADChunkSampleStreamFactory | A Factory to create a Arvores Deitadas ChunkStream from the command line Note: Do not use this class, internal use only! | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
AdditionalContextFeatureGenerator | The AdditionalContextFeatureGenerator generates the context from the passed in additional context. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
ADNameSampleStream | Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training. | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADNameSampleStreamFactory | A Factory to create a Arvores Deitadas NameSampleDataStream from the command line Note: Do not use this class, internal use only! | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADPOSSampleStream | | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADPOSSampleStreamFactory | | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADSentenceSampleStream | | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADSentenceSampleStreamFactory | | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
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ADSentenceStream | Stream filter which merges text lines into sentences, following the Arvores Information about the format: | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
ADTokenSampleStreamFactory | | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
AggregatedFeatureGenerator | The AggregatedFeatureGenerator aggregates a set of AdaptiveFeatureGenerators and calls them to generate the features. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
AncoraSpanishHeadRules | Class for storing the Ancora Spanish head rules associated with parsing. | Class | opennlp.tools.parser.lang.es | Natural Language Processing (OpenNLP) |
|
AnnotationConfiguration | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
ArrayMath | Utility class for simple vector arithmetic. | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
ArtifactProvider | Provides access to model persisted artifacts. | Interface | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
ArtifactSerializer | Responsible to create an artifact from an InputStream. | Interface | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
ArtifactToSerializerMapper | | Interface | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
AttachContextGenerator | | Class | opennlp.tools.parser.treeinsert | Natural Language Processing (OpenNLP) |
|
AttributeAnnotation | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
Attributes | The Attributes class stores name value pairs. | Class | opennlp.tools.dictionary.serializer | Natural Language Processing (OpenNLP) |
|
BagOfWordsFeatureGenerator | Generates a feature for each word in a document. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
BaseLink | Stores a minimal tuple of information. | Class | opennlp.tools.entitylinker | Natural Language Processing (OpenNLP) |
|
BaseModel | This model is a common based which can be used by the components Provide sub classes access to serializers already in constructor | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
BaseToolFactory | Base class for all tool factories. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
BasicContextGenerator | Generate contexts for maxent decisions, assuming that the input given to the getContext() method is a String containing contextual | Class | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
BeamSearch | Performs k-best search over sequence. | Class | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
BeamSearch | Performs k-best search over sequence. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
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BeamSearchContextGenerator | Interface for context generators used with a sequence beam search. | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
BigramNameFeatureGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
BilouCodec | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
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BilouNameFinderSequenceValidator | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
BinaryFileDataReader | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
BinaryGISModelReader | A reader for GIS models stored in binary format. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
BinaryGISModelWriter | Model writer that saves models in binary format. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
BinaryPerceptronModelReader | | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
BinaryPerceptronModelWriter | Model writer that saves models in binary format. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
BinaryQNModelReader | A reader for quasi-newton models stored in binary format. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
BinaryQNModelWriter | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
BioCodec | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
BioNLP2004NameSampleStream | Parser for the training files of the BioNLP/NLPBA 2004 shared task. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
BioNLP2004NameSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
BratAnnotation | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
BratAnnotationStream | Reads the annotations from the brat . | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
BratDocument | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
BratDocumentStream | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
BratNameSampleStream | Generates Name Sample objects for a Brat Document object. | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
BratNameSampleStreamFactory | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
BrownBigramFeatureGenerator | Generates Brown cluster features for token bigrams. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
BrownCluster | Class to load a Brown cluster document: word\tword_class\tprob http://metaoptimize. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
BrownTokenClasses | Obtain the paths listed in the pathLengths array from the Brown class. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
BrownTokenClassFeatureGenerator | Generates Brown cluster features for current token and token class. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
BrownTokenFeatureGenerator | Generates Brown cluster features for current token. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
BuildContextGenerator | Class to generator predictive contexts for deciding how constituents should be combined together. | Class | opennlp.tools.parser.chunking | Natural Language Processing (OpenNLP) |
|
BuildContextGenerator | Creates the features or contexts for the building phase of parsing. | Class | opennlp.tools.parser.treeinsert | Natural Language Processing (OpenNLP) |
|
Cache | Provides fixed size, pre-allocated, least recently used replacement cache. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
CachedFeatureGenerator | Caches features of the aggregated AdaptiveFeatureGenerators. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
CharacterNgramFeatureGenerator | The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
CheckContextGenerator | Class for generating predictive context for deciding when a constituent is complete. | Class | opennlp.tools.parser.chunking | Natural Language Processing (OpenNLP) |
|
CheckContextGenerator | | Class | opennlp.tools.parser.treeinsert | Natural Language Processing (OpenNLP) |
|
ChunkContextGenerator | Creates predivtive context for the pre-chunking phases of parsing. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
Chunker | The interface for chunkers which provide chunk tags for a sequence of tokens. | Interface | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerContextGenerator | Interface for the context generator used in syntactic chunking. | Interface | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerCrossValidator | | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerEvaluator | The ChunkerEvaluator measures the performance of the given Chunker with the provided | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerEventStream | Class for creating an event stream out of data files for training a chunker. | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerFactory | | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerME | The class represents a maximum-entropy-based chunker. | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerModel | The ChunkerModel is the model used by a learnable Chunker. | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkerSampleStreamFactory | Factory producing OpenNLP ChunkSampleStreams. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
ChunkSample | Class for holding chunks for a single unit of text. | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkSampleSequenceStream | | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkSampleStream | Parses the conll 2000 shared task shallow parser training data. | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
ChunkSampleStream | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
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ClassSerializer | | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
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CollectionObjectStream | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
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ComparableEvent | A maxent event representation which we can use to sort based on the predicates indexes contained in the events. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
ComparablePredicate | A maxent predicate representation which we can use to sort based on the outcomes. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
Conll02NameSampleStream | Parser for the dutch and spanish ner training files of the CONLL 2002 shared task. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
Conll02NameSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
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Conll03NameSampleStream | An import stream which can parse the CONLL03 data. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
Conll03NameSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
ConllXPOSSampleStream | Parses the data from the CONLL 06 shared task into POS Samples. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
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ConllXPOSSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
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ConllXSentenceSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
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ConllXTokenSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
Cons | Class to hold feature information about a specific parse node. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
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ConstitParseSampleStream | | Class | opennlp.tools.formats.frenchtreebank | Natural Language Processing (OpenNLP) |
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ConstitParseSampleStreamFactory | | Class | opennlp.tools.formats.frenchtreebank | Natural Language Processing (OpenNLP) |
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Constituent | Class used to hold constituents when reading parses. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
Context | Class which associates a real valued parameter or expected value with a particular contextual predicate or feature. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
ContextGenerator | Generate contexts for maxent decisions. | Interface | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
CountedSet | Set which counts the number of times a values are added to it. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
CrossValidationPartitioner | Provides access to training and test partitions for n-fold cross validation. | Class | opennlp.tools.util.eval | Natural Language Processing (OpenNLP) |
|
CustomFeatureGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
DataIndexer | Object which compresses events in memory and performs feature selection. | Interface | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
DataReader | | Interface | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
DataStream | A interface for objects which can deliver a stream of training data to be supplied to an EventStream. | Interface | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
DefaultChunkerContextGenerator | Features based on chunking model described in Fei Sha and Fernando Pereira. | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
DefaultChunkerSequenceValidator | | Class | opennlp.tools.chunker | Natural Language Processing (OpenNLP) |
|
DefaultEndOfSentenceScanner | Default implementation of the EndOfSentenceScanner. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
DefaultNameContextGenerator | Class for determining contextual features for a tag/chunk style named-entity recognizer. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
DefaultPOSContextGenerator | A context generator for the POS Tagger. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
DefaultPOSSequenceValidator | | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
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DefaultSDContextGenerator | Generate event contexts for maxent decisions for sentence detection. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
DefaultTokenContextGenerator | Generate events for maxent decisions for tokenization. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
DetokenizationDictionary | | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
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Detokenizer | A Detokenizer merges tokens back to their untokenized representation. | Interface | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
DetokenizerSampleStreamFactory | Base class for factories which need detokenizer. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
Dictionary | This class is a dictionary. | Class | opennlp.tools.dictionary | Natural Language Processing (OpenNLP) |
|
DictionaryDetokenizer | A rule based detokenizer. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
DictionaryFeatureGenerator | The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
DictionaryLemmatizer | | Interface | opennlp.tools.lemmatizer | Natural Language Processing (OpenNLP) |
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DictionaryNameFinder | This is a dictionary based name finder, it scans text for names inside a dictionary. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
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DictionarySerializer | This class is used by for reading and writing dictionaries of all kinds. | Class | opennlp.tools.dictionary.serializer | Natural Language Processing (OpenNLP) |
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DirectorySampleStream | The directory sample stream scans a directory (recursively) for plain text files and outputs each file as a String object. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
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DoccatCrossValidator | | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
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DoccatFactory | | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
DoccatModel | | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
DocumentBeginFeatureGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
DocumentCategorizer | Interface for classes which categorize documents. | Interface | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
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DocumentCategorizerEvaluator | The DocumentCategorizerEvaluator measures the performance of the given DocumentCategorizer with the provided reference | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
DocumentCategorizerEventStream | Iterator-like class for modeling document classification events. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
DocumentCategorizerME | Maxent implementation of DocumentCategorizer. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
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DocumentNameFinder | Name finding interface which processes an entire document allowing the name finder to use context from the entire document. | Interface | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
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DocumentSample | Class which holds a classified document and its category. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
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DocumentSampleStream | This class reads in string encoded training samples, parses them and outputs DocumentSample objects. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
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DocumentSampleStreamFactory | Factory producing OpenNLP DocumentSampleStreams. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
DocumentToLineStream | Reads a plain text file and return each line as a String object. | Class | opennlp.tools.formats.ontonotes | Natural Language Processing (OpenNLP) |
|
DynamicEvalParameters | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
EmptyLinePreprocessorStream | Stream to to clean up empty lines for empty line separated document streams. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
EndOfSentenceScanner | Scans Strings, StringBuffers, and char[] arrays for the offsets of sentence ending characters. | Interface | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
EntityLinker | EntityLinkers establish connections to external data to enrich extracted entities. | Interface | opennlp.tools.entitylinker | Natural Language Processing (OpenNLP) |
|
EntityLinkerFactory | | Class | opennlp.tools.entitylinker | Natural Language Processing (OpenNLP) |
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EntityLinkerProperties | | Class | opennlp.tools.entitylinker | Natural Language Processing (OpenNLP) |
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Entry | An Entry is a StringList which can optionally be mapped to attributes. | Class | opennlp.tools.dictionary.serializer | Natural Language Processing (OpenNLP) |
|
EntryInserter | | Interface | opennlp.tools.dictionary.serializer | Natural Language Processing (OpenNLP) |
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EvalitaNameSampleStream | Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
EvalitaNameSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
EvalParameters | This class encapsulates the varibales used in producing probabilities from a model and facilitaes passing these variables to the eval method. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
EvaluationMonitor | | Interface | opennlp.tools.util.eval | Natural Language Processing (OpenNLP) |
|
Evaluator | The Evaluator is an abstract base class for evaluators. | Class | opennlp.tools.util.eval | Natural Language Processing (OpenNLP) |
|
Event | The context of a decision point during training. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
EventModelSequenceTrainer | | Interface | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
EventTraceStream | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
EventTrainer | | Interface | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
ExtensionLoader | The ExtensionLoader is responsible to load extensions to the OpenNLP library. | Class | opennlp.tools.util.ext | Natural Language Processing (OpenNLP) |
|
ExtensionNotLoadedException | Exception indicates that an OpenNLP extension could not be loaded. | Class | opennlp.tools.util.ext | Natural Language Processing (OpenNLP) |
|
ExtensionServiceKeys | | Class | opennlp.tools.util.ext | Natural Language Processing (OpenNLP) |
|
Factory | | Class | opennlp.tools.sentdetect.lang | Natural Language Processing (OpenNLP) |
|
Factory | | Class | opennlp.tools.tokenize.lang | Natural Language Processing (OpenNLP) |
|
FastTokenClassFeatureGenerator | Generates features for different for the class of the token. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
FeatureGenerator | Interface for generating features for document categorization. | Interface | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
FeatureGeneratorAdapter | This class provides empty implementations of some of the optional methods in AdditionalContextFeatureGenerator to make implementing feature generators | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
FeatureGeneratorFactory | The FeatureGeneratorFactory interface is factory for AdaptiveFeatureGenerators. | Interface | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
FeatureGeneratorFactorySerializer | | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
FeatureGeneratorResourceProvider | The FeatureGeneratorResourceProvider provides access to the resources provided in the model. | Interface | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
FeatureGeneratorUtil | This class provide common utilities for feature generation. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
FileEventStream | Class for using a file of events as an event stream. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
FileToByteArraySampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
FileToStringSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
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FilterObjectStream | Abstract base class for filtering ObjectStreams. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
FMeasure | The FMeasure is an utility class for evaluators which measure precision, recall and the resulting f-measure. | Class | opennlp.tools.util.eval | Natural Language Processing (OpenNLP) |
|
Function | | Interface | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
GapLabeler | | Interface | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
GeneratorFactory | Creates a set of feature generators based on a provided XML descriptor. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
GenericModelReader | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
GenericModelSerializer | | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
GenericModelWriter | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
GIS | | Class | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
GISModel | A maximum entropy model which has been trained using the Generalized Iterative Scaling procedure (implemented in GIS. | Class | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
GISModelReader | Abstract parent class for readers of GISModels. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
GISModelWriter | Abstract parent class for GISModel writers. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
HashList | Class which creates mapping between keys and a list of values. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
HashSumEventStream | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
HeadRules | Interface for encoding the head rules associated with parsing. | Interface | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
HeadRules | Class for storing the English head rules associated with parsing. | Class | opennlp.tools.parser.lang.en | Natural Language Processing (OpenNLP) |
|
Heap | Interface for interacting with a Heap data structure. | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
Index | This classes indexes StringLists. | Class | opennlp.tools.dictionary | Natural Language Processing (OpenNLP) |
|
IndexHashTable | The IndexHashTable is a hash table which maps entries of an array to their index in the array. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
InputStreamFactory | Allows repeated reads through a stream for certain types of model building. | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
InSpanGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
IntegerPool | A pool of read-only, unsigned Integer objects within a fixed, non-sparse range. | Class | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
InvalidFormatException | This exception indicates that a resource violates the expected data format. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
LanguageSampleStreamFactory | Stream factory for those streams which carry language. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
LeipzigDoccatSampleStream | Stream filter to produce document samples out of a Leipzig sentences. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
LeipzigDocumentSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
LineSearch | | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
LinkedSpan | | Class | opennlp.tools.entitylinker | Natural Language Processing (OpenNLP) |
|
ListHeap | This class implements the heap interface using a List as the underlying data structure. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
MarkableFileInputStreamFactory | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
MaxentModel | Interface for maximum entropy models. | Interface | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
Mean | Calculates the arithmetic mean of values added with the add(double) method. | Class | opennlp.tools.util.eval | Natural Language Processing (OpenNLP) |
|
ModelType | | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
ModelUtil | Utility class for handling of MaxentModels. | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
Muc6NameSampleStreamFactory | | Class | opennlp.tools.formats.muc | Natural Language Processing (OpenNLP) |
|
MucNameContentHandler | | Class | opennlp.tools.formats.muc | Natural Language Processing (OpenNLP) |
|
MucNameSampleStream | | Class | opennlp.tools.formats.muc | Natural Language Processing (OpenNLP) |
|
MutableContext | Class used to store parameters or expected values associated with this context which can be updated or assigned. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
MutableTagDictionary | Interface that allows TagDictionary entries to be added and removed. | Interface | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
NameContextGenerator | Interface for generating the context for an name finder by specifying a set of geature generators. | Interface | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameFinderCensus90NameStream | This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
NameFinderEventStream | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameFinderME | Class for creating a maximum-entropy-based name finder. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameFinderSequenceValidator | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameSample | Class for holding names for a single unit of text. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameSampleDataStream | The NameSampleDataStream class converts tagged Strings provided by a DataStream to NameSample objects. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameSampleDataStreamFactory | Factory producing OpenNLP NameSampleDataStreams. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
NameSampleSequenceStream | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameSampleTypeFilter | A stream which removes Name Samples which do not have a certain type. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
NameToSentenceSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
NameToSentenceSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
NameToTokenSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
NameToTokenSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
NegLogLikelihood | Evaluate negative log-likelihood and its gradient from DataIndexer. | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
NewlineSentenceDetector | The Newline Sentence Detector assumes that sentences are line delimited and recognizes one sentence per non-empty line. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
NGramFeatureGenerator | | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
|
NGramGenerator | | Class | opennlp.tools.ngram | Natural Language Processing (OpenNLP) |
|
NGramModel | The NGramModel can be used to crate ngrams and character ngrams. | Class | opennlp.tools.ngram | Natural Language Processing (OpenNLP) |
|
ObjectDataReader | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
ObjectGISModelReader | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
ObjectGISModelWriter | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
ObjectQNModelReader | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
ObjectQNModelWriter | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
ObjectStream | Reads Objects from a stream. | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
ObjectStreamUtils | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
OldFormatGISModelReader | A reader for GIS models stored in the format used in v1. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
OnePassDataIndexer | An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
OnePassRealValueDataIndexer | An indexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
OntoNotesNameSampleStream | Name Sample Stream parser for the OntoNotes 4. | Class | opennlp.tools.formats.ontonotes | Natural Language Processing (OpenNLP) |
|
OntoNotesNameSampleStreamFactory | | Class | opennlp.tools.formats.ontonotes | Natural Language Processing (OpenNLP) |
|
OntoNotesParseSampleStream | | Class | opennlp.tools.formats.ontonotes | Natural Language Processing (OpenNLP) |
|
OntoNotesParseSampleStreamFactory | | Class | opennlp.tools.formats.ontonotes | Natural Language Processing (OpenNLP) |
|
OntoNotesPOSSampleStreamFactory | | Class | opennlp.tools.formats.ontonotes | Natural Language Processing (OpenNLP) |
|
OSGiExtensionLoader | OSGi bundle activator which can use an OSGi service as an OpenNLP extension. | Class | opennlp.tools.util.ext | Natural Language Processing (OpenNLP) |
|
OutcomePriorFeatureGenerator | The definition feature maps the underlying distribution of outcomes. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
ParagraphStream | Stream filter which merges text lines into paragraphs. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
ParallelNegLogLikelihood | | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
Parse | Data structure for holding parse constituents. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
Parser | Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis. | Class | opennlp.tools.parser.chunking | Natural Language Processing (OpenNLP) |
|
Parser | Interface for full-syntactic parsers. | Interface | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
Parser | Built/attach parser. | Class | opennlp.tools.parser.treeinsert | Natural Language Processing (OpenNLP) |
|
ParserChunkerFactory | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserChunkerSequenceValidator | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserCrossValidator | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserEvaluator | Class for ParserEvaluator. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserEventStream | Wrapper class for one of four parser event streams. | Class | opennlp.tools.parser.chunking | Natural Language Processing (OpenNLP) |
|
ParserEventStream | | Class | opennlp.tools.parser.treeinsert | Natural Language Processing (OpenNLP) |
|
ParserEventTypeEnum | enum ParserEventTypeEnumEnumerated type of event types for the parser. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserFactory | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserModel | This is an abstract base class for ParserModel implementations. | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParserType | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParseSampleStream | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
ParseSampleStreamFactory | Factory producing OpenNLP ParseSampleStreams. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
ParseToPOSSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
ParseToPOSSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
ParseToSentenceSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
ParseToTokenSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
PerceptronModel | | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
PerceptronModelReader | Abstract parent class for readers of Perceptron. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
PerceptronModelWriter | Abstract parent class for Perceptron writers. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
PerceptronTrainer | Trains models using the perceptron algorithm. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
PlainTextByLineStream | Reads a plain text file and return each line as a String object. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
PlainTextFileDataReader | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
PlainTextGISModelReader | A reader for GIS models stored in plain text format. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
PlainTextGISModelWriter | Model writer that saves models in plain text format. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
PlainTextPerceptronModelReader | | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
PlainTextPerceptronModelWriter | Model writer that saves models in plain text format. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
PooledGISModelReader | This class works exactly like the SuffisSensitiveGISModelReader except that it attempts to pool all context strings. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
PorterStemmer | Stemmer, implementing the Porter Stemming Algorithm The Stemmer class transforms a word into its root form. | Class | opennlp.tools.stemmer | Natural Language Processing (OpenNLP) |
|
PortugueseContractionUtility | Utility class to handle Portuguese contractions. | Class | opennlp.tools.formats.ad | Natural Language Processing (OpenNLP) |
|
POSContextGenerator | The interface for a context generator for the POS Tagger. | Interface | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSDictionary | Provides a means of determining which tags are valid for a particular word based on a tag dictionary read from a file. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSDictionaryWriter | Class for writing a pos-tag-dictionary to a file. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSEvaluator | The POSEvaluator measures the performance of the given POSTagger with the provided reference | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSModel | The POSModel is the model used by a learnable POSTagger. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSSample | Represents an pos-tagged sentence. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSSampleEventStream | This class reads the POSSamples from the given Iterator and converts the POSSamples into Events which | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSSampleSequenceStream | | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
PosSampleStream | | Class | opennlp.tools.parser | Natural Language Processing (OpenNLP) |
|
POSTagger | The interface for part of speech taggers. | Interface | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSTaggerCrossValidator | | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSTaggerFactory | | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSTaggerME | A part-of-speech tagger that uses maximum entropy. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
POSToSentenceSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
POSToSentenceSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
POSToTokenSampleStream | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
POSToTokenSampleStreamFactory | | Class | opennlp.tools.formats.convert | Natural Language Processing (OpenNLP) |
|
PrefixFeatureGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
PreviousMapFeatureGenerator | This FeatureGeneratorAdapter generates features indicating the outcome associated with a previously occuring word. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
PreviousTwoMapFeatureGenerator | This FeatureGeneratorAdapter generates features indicating the outcome associated with two previously occuring words. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
Prior | This interface allows one to implement a prior distribution for use in maximum entropy model training. | Interface | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
QNMinimizer | and Elastic Net for solving convex optimization problems. | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
QNModel | | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
QNModelReader | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
QNModelWriter | | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
QNTrainer | Maxent model trainer using L-BFGS algorithm. | Class | opennlp.tools.ml.maxent.quasinewton | Natural Language Processing (OpenNLP) |
|
RealBasicEventStream | | Class | opennlp.tools.ml.maxent | Natural Language Processing (OpenNLP) |
|
RealValueFileEventStream | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
RegexNameFinder | Name finder based on a series of regular expressions. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
RegexNameFinderFactory | Returns a RegexNameFinder based on A selection of defaults or a configuration and a selection of defaults | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
RelationAnnotation | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
ResetableIterator | This interface makes an Iterator resetable. | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
ReverseListIterator | An iterator for a list which returns values in the opposite order as the typical list iterator. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
SDContextGenerator | Interface for SentenceDetectorME context generators. | Interface | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SDCrossValidator | A cross validator for the sentence detector. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SDEventStream | | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SegmenterObjectStream | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
SentenceContextGenerator | Creates contexts/features for end-of-sentence detection in Thai text. | Class | opennlp.tools.sentdetect.lang.th | Natural Language Processing (OpenNLP) |
|
SentenceDetector | | Interface | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceDetectorEvaluator | The SentenceDetectorEvaluator measures the performance of the given SentenceDetector with the provided reference | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceDetectorFactory | | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceDetectorME | A sentence detector for splitting up raw text into sentences. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceFeatureGenerator | This feature generator creates sentence begin and end features. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
SentenceModel | The SentenceModel is the model used by a learnable SentenceDetector. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceSample | A SentenceSample contains a document with begin indexes of the individual sentences. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceSampleStream | This class is a stream filter which reads a sentence by line samples from a Reader and converts them into SentenceSample objects. | Class | opennlp.tools.sentdetect | Natural Language Processing (OpenNLP) |
|
SentenceSampleStreamFactory | Factory producing OpenNLP SentenceSampleStreams. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
Sequence | Class which models a sequence. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
Sequence | Represents a weighted sequence of outcomes. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
SequenceClassificationModel | A classification model that can label an input sequence. | Interface | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
SequenceCodec | | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
SequenceStream | Interface for streams of sequences used to train sequence models. | Interface | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
SequenceStreamEventStream | Class which turns a sequence stream into an event stream. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
SequenceTrainer | | Interface | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
SequenceValidator | | Interface | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
SerializableArtifact | | Interface | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
SgmlParser | SAX style SGML parser. | Class | opennlp.tools.formats.muc | Natural Language Processing (OpenNLP) |
|
SimpleLemmatizer | | Class | opennlp.tools.lemmatizer | Natural Language Processing (OpenNLP) |
|
SimplePerceptronSequenceTrainer | Trains models for sequences using the perceptron algorithm. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
SimpleTokenizer | Performs tokenization using character classes. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
SnowballStemmer | | Class | opennlp.tools.stemmer.snowball | Natural Language Processing (OpenNLP) |
|
Span | Class for storing start and end integer offsets. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
SpanAnnotation | | Class | opennlp.tools.formats.brat | Natural Language Processing (OpenNLP) |
|
StringList | The StringList is an immutable list of Strings. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
StringPattern | Recognizes predefined patterns in strings. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
StringUtil | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
SuffixFeatureGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
SuffixSensitiveGISModelReader | A reader for GIS models which inspects the filename and invokes the appropriate GISModelReader depending on the filename's suffixes. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
SuffixSensitiveGISModelWriter | A writer for GIS models which inspects the filename and invokes the appropriate GISModelWriter depending on the filename's suffixes. | Class | opennlp.tools.ml.maxent.io | Natural Language Processing (OpenNLP) |
|
SuffixSensitivePerceptronModelWriter | A writer for GIS models which inspects the filename and invokes the appropriate GISModelWriter depending on the filename's suffixes. | Class | opennlp.tools.ml.perceptron | Natural Language Processing (OpenNLP) |
|
TagDictionary | Interface to determine which tags are valid for a particular word based on a tag dictionary. | Interface | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
TokenClassFeatureGenerator | Generates features for different for the class of the token. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
TokenContextGenerator | Interface for TokenizerME context generators. | Interface | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenFeatureGenerator | Generates a feature which contains the token itself. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
Tokenizer | The interface for tokenizers, which segment a string into its tokens. | Interface | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenizerCrossValidator | | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenizerEvaluator | The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenizerFactory | The factory that provides Tokenizer default implementations and resources. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenizerME | A Tokenizer for converting raw text into separated tokens. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenizerModel | The TokenizerModel is the model used by a learnable Tokenizer. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenizerStream | The TokenizerStream uses a tokenizer to tokenize the input string and output TokenSamples. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenNameFinder | The interface for name finders which provide name tags for a sequence of tokens. | Interface | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
TokenNameFinderCrossValidator | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
TokenNameFinderEvaluator | The TokenNameFinderEvaluator measures the performance of the given TokenNameFinder with the provided | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
TokenNameFinderFactory | | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
TokenNameFinderModel | The TokenNameFinderModel is the model used by a learnable TokenNameFinder. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
|
TokenPatternFeatureGenerator | 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. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
TokenSample | A TokenSample is text with token spans. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenSampleStream | Class which produces an Iterator from a file of space delimited token. | Class | opennlp.tools.tokenize.lang.en | Natural Language Processing (OpenNLP) |
|
TokenSampleStream | This class is a stream filter which reads in string encoded samples and creates TokenSamples out of them. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TokenSampleStreamFactory | Factory producing OpenNLP TokenSampleStreams. | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
TokSpanEventStream | This class reads the TokenSamples from the given Iterator and converts the TokenSamples into Events which | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
TrainerFactory | | Class | opennlp.tools.ml | Natural Language Processing (OpenNLP) |
|
TrainingParameters | | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
TrainUtil | | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
TreeHeap | An implementation of the Heap interface based on SortedSet. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
TrigramNameFeatureGenerator | Adds trigram features based on tokens and token classes. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
TwoPassDataIndexer | Collecting event and context counts by making two passes over the events. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
UncloseableInputStream | An InputStream which cannot be closed. | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) |
|
UniformPrior | Provide a maximum entropy model with a uniform prior. | Class | opennlp.tools.ml.model | Natural Language Processing (OpenNLP) |
|
Version | The Version class represents the OpenNlp Tools library version. | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) |
|
WhitespaceTokenizer | This tokenizer uses white spaces to tokenize the input text. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
WhitespaceTokenStream | This stream formats a TokenSamples into whitespace separated token strings. | Class | opennlp.tools.tokenize | Natural Language Processing (OpenNLP) |
|
WindowFeatureGenerator | Generates previous and next features for a given AdaptiveFeatureGenerator. | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
WordClusterDictionary | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
WordClusterFeatureGenerator | | Class | opennlp.tools.util.featuregen | Natural Language Processing (OpenNLP) |
|
WordTagSampleStream | A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a POSSample objects. | Class | opennlp.tools.postag | Natural Language Processing (OpenNLP) |
|
WordTagSampleStreamFactory | | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) |
|
AbstractModelResource | | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
|
AbstractSentenceDetector | | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) |
|
AbstractTokenizer | | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
|
AnnotationComboIterator | UIMA Annotation iterator combination of super- and subiterator. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
|
AnnotationComparator | Checks two annotations for equality. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
|
AnnotationIteratorPair | A pair of a UIMA annotation and an annotation iterator. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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AnnotatorUtil | This is a utility class for Annotators. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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CasConsumerUtil | This is a util class for cas consumer. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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Chunker | OpenNLP Chunker annotator. | Class | opennlp.uima.chunker | Natural Language Processing (OpenNLP) |
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ChunkerModelResourceImpl | | Class | opennlp.uima.chunker | Natural Language Processing (OpenNLP) |
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ChunkerTrainer | OpenNLP Chunker trainer. | Class | opennlp.uima.chunker | Natural Language Processing (OpenNLP) |
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ContainingConstraint | Checks if an AnnotationFS is contained by the given AnnotationFS. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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DictionaryNameFinder | | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
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DoccatModelResourceImpl | | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
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DocumentCategorizer | OpenNLP Document Categorizer. | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
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DocumentCategorizerTrainer | OpenNLP NameFinder trainer. | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
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ExceptionMessages | | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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LanguageDetector | Analysis Engine which can detected the language of a text. | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
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NameFinder | OpenNLP Name annotator. | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
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NameFinderTrainer | OpenNLP NameFinder trainer. | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
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Normalizer | The Normalizer tries the structure annotations. | Class | opennlp.uima.normalizer | Natural Language Processing (OpenNLP) |
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NumberUtil | This class contains methods to parse numbers which occur in natural language texts. | Class | opennlp.uima.normalizer | Natural Language Processing (OpenNLP) |
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OpenNlpAnnotatorProcessException | | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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OpennlpUtil | This class contains utils methods for the maxent library. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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Parser | Abstract base class for OpenNLP Parser annotators. | Class | opennlp.uima.parser | Natural Language Processing (OpenNLP) |
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ParserModelResourceImpl | | Class | opennlp.uima.parser | Natural Language Processing (OpenNLP) |
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POSModelResourceImpl | | Class | opennlp.uima.postag | Natural Language Processing (OpenNLP) |
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POSTagger | OpenNLP Part Of Speech annotator. | Class | opennlp.uima.postag | Natural Language Processing (OpenNLP) |
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POSTaggerTrainer | OpenNLP POSTagger trainer. | Class | opennlp.uima.postag | Natural Language Processing (OpenNLP) |
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SampleTraceStream | Writes the samples which are processed by this stream to a file. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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SentenceDetector | OpenNLP Sentence annotator. | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) |
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SentenceDetectorTrainer | OpenNLP SentenceDetector trainer. | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) |
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SentenceModelResourceImpl | | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) |
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SimpleTokenizer | OpenNLP Simple Tokenizer annotator. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
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StringDictionary | | Class | opennlp.uima.normalizer | Natural Language Processing (OpenNLP) |
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Tokenizer | OpenNLP Tokenizer annotator. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
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TokenizerModelResource | A TokenizerModel which can be shared between AnalysisEngines and loaded via the UIMA resource model. | Interface | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
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TokenizerModelResourceImpl | | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
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TokenizerTrainer | OpenNLP Tokenizer trainer. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
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TokenNameFinderModelResource | | Interface | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
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TokenNameFinderModelResourceImpl | | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
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UimaUtil | This is a util class for uima operations. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
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WhitespaceTokenizer | OpenNLP Whitespace Tokenizer annotator. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |