Search Java Classes and Packages
# Classes and Interfaces in #Natural Language Processing (OpenNLP - 439 results found.
| 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) | |
| 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) |
| 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) | |
| 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) | |
| ClassSerializer | Class | opennlp.tools.util.model | Natural Language Processing (OpenNLP) | |
| CollectionObjectStream | Class | opennlp.tools.util | Natural Language Processing (OpenNLP) | |
| 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) | |
| 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) |
| ConllXPOSSampleStreamFactory | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) | |
| ConllXSentenceSampleStreamFactory | Class | opennlp.tools.formats | Natural Language Processing (OpenNLP) | |
| 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) |
| ConstitParseSampleStream | Class | opennlp.tools.formats.frenchtreebank | Natural Language Processing (OpenNLP) | |
| ConstitParseSampleStreamFactory | Class | opennlp.tools.formats.frenchtreebank | Natural Language Processing (OpenNLP) | |
| 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) | |
| 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) | |
| 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) | |
| DictionaryNameFinder | This is a dictionary based name finder, it scans text for names inside a dictionary. | Class | opennlp.tools.namefind | Natural Language Processing (OpenNLP) |
| DictionarySerializer | This class is used by for reading and writing dictionaries of all kinds. | Class | opennlp.tools.dictionary.serializer | Natural Language Processing (OpenNLP) |
| 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) |
| DoccatCrossValidator | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) | |
| 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) |
| 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) |
| 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) |
| DocumentSample | Class which holds a classified document and its category. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
| DocumentSampleStream | This class reads in string encoded training samples, parses them and outputs DocumentSample objects. | Class | opennlp.tools.doccat | Natural Language Processing (OpenNLP) |
| 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) | |
| EntityLinkerProperties | Class | opennlp.tools.entitylinker | Natural Language Processing (OpenNLP) | |
| 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) | |
| 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) | |
| 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 | 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) |
| AnnotatorUtil | This is a utility class for Annotators. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
| CasConsumerUtil | This is a util class for cas consumer. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
| Chunker | OpenNLP Chunker annotator. | Class | opennlp.uima.chunker | Natural Language Processing (OpenNLP) |
| ChunkerModelResourceImpl | Class | opennlp.uima.chunker | Natural Language Processing (OpenNLP) | |
| ChunkerTrainer | OpenNLP Chunker trainer. | Class | opennlp.uima.chunker | Natural Language Processing (OpenNLP) |
| ContainingConstraint | Checks if an AnnotationFS is contained by the given AnnotationFS. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
| DictionaryNameFinder | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) | |
| DoccatModelResourceImpl | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) | |
| DocumentCategorizer | OpenNLP Document Categorizer. | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
| DocumentCategorizerTrainer | OpenNLP NameFinder trainer. | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
| ExceptionMessages | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) | |
| LanguageDetector | Analysis Engine which can detected the language of a text. | Class | opennlp.uima.doccat | Natural Language Processing (OpenNLP) |
| NameFinder | OpenNLP Name annotator. | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
| NameFinderTrainer | OpenNLP NameFinder trainer. | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) |
| Normalizer | The Normalizer tries the structure annotations. | Class | opennlp.uima.normalizer | Natural Language Processing (OpenNLP) |
| NumberUtil | This class contains methods to parse numbers which occur in natural language texts. | Class | opennlp.uima.normalizer | Natural Language Processing (OpenNLP) |
| OpenNlpAnnotatorProcessException | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) | |
| OpennlpUtil | This class contains utils methods for the maxent library. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
| Parser | Abstract base class for OpenNLP Parser annotators. | Class | opennlp.uima.parser | Natural Language Processing (OpenNLP) |
| ParserModelResourceImpl | Class | opennlp.uima.parser | Natural Language Processing (OpenNLP) | |
| POSModelResourceImpl | Class | opennlp.uima.postag | Natural Language Processing (OpenNLP) | |
| POSTagger | OpenNLP Part Of Speech annotator. | Class | opennlp.uima.postag | Natural Language Processing (OpenNLP) |
| POSTaggerTrainer | OpenNLP POSTagger trainer. | Class | opennlp.uima.postag | Natural Language Processing (OpenNLP) |
| SampleTraceStream | Writes the samples which are processed by this stream to a file. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
| SentenceDetector | OpenNLP Sentence annotator. | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) |
| SentenceDetectorTrainer | OpenNLP SentenceDetector trainer. | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) |
| SentenceModelResourceImpl | Class | opennlp.uima.sentdetect | Natural Language Processing (OpenNLP) | |
| SimpleTokenizer | OpenNLP Simple Tokenizer annotator. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
| StringDictionary | Class | opennlp.uima.normalizer | Natural Language Processing (OpenNLP) | |
| Tokenizer | OpenNLP Tokenizer annotator. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
| TokenizerModelResource | A TokenizerModel which can be shared between AnalysisEngines and loaded via the UIMA resource model. | Interface | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
| TokenizerModelResourceImpl | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) | |
| TokenizerTrainer | OpenNLP Tokenizer trainer. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |
| TokenNameFinderModelResource | Interface | opennlp.uima.namefind | Natural Language Processing (OpenNLP) | |
| TokenNameFinderModelResourceImpl | Class | opennlp.uima.namefind | Natural Language Processing (OpenNLP) | |
| UimaUtil | This is a util class for uima operations. | Class | opennlp.uima.util | Natural Language Processing (OpenNLP) |
| WhitespaceTokenizer | OpenNLP Whitespace Tokenizer annotator. | Class | opennlp.uima.tokenize | Natural Language Processing (OpenNLP) |