- CasConsumerUtil - Class in opennlp.uima.util
-
This is a util class for cas consumer.
- checkFeatureType(Feature, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Checks if the given feature has the expected type otherwise
an exception is thrown.
- CHILDREN_FEATURE_PARAMETER - Static variable in class opennlp.uima.parser.Parser
-
- CHUNK_TAG_FEATURE_PARAMETER - Static variable in class opennlp.uima.chunker.Chunker
-
The chunk tag feature parameter
- CHUNK_TYPE_PARAMETER - Static variable in class opennlp.uima.chunker.Chunker
-
The chunk type parameter.
- Chunker - Class in opennlp.uima.chunker
-
OpenNLP Chunker annotator.
- Chunker() - Constructor for class opennlp.uima.chunker.Chunker
-
Initializes a new instance.
- ChunkerModelResource - Interface in opennlp.uima.chunker
-
- ChunkerModelResourceImpl - Class in opennlp.uima.chunker
-
- ChunkerModelResourceImpl() - Constructor for class opennlp.uima.chunker.ChunkerModelResourceImpl
-
- ChunkerTrainer - Class in opennlp.uima.chunker
-
OpenNLP Chunker trainer.
- ChunkerTrainer() - Constructor for class opennlp.uima.chunker.ChunkerTrainer
-
- collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.chunker.ChunkerTrainer
-
Called if the processing is finished, this method
does the training.
- collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
-
- collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.namefind.NameFinderTrainer
-
Called if the processing is finished, this method
does the training.
- collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.postag.POSTaggerTrainer
-
Called if the processing is finished, this method
does the training.
- collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
-
Called if the processing is finished, this method
does the training.
- collectionProcessComplete(ProcessTrace) - Method in class opennlp.uima.tokenize.TokenizerTrainer
-
Called if the processing is finished, this method
does the training.
- compare(AnnotationFS, AnnotationFS) - Method in class opennlp.uima.util.AnnotationComparator
-
Compares the begin indexes of the annotations.
- ContainingConstraint - Class in opennlp.uima.util
-
Checks if an AnnotationFS is contained by the given AnnotationFS.
- ContainingConstraint() - Constructor for class opennlp.uima.util.ContainingConstraint
-
Initializes a new instance.
- ContainingConstraint(AnnotationFS) - Constructor for class opennlp.uima.util.ContainingConstraint
-
Initializes a new instance.
- createOptionalDictionary(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- createOptionalDictionary(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
- CUTOFF_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
-
- get(StringList) - Method in class opennlp.uima.normalizer.StringDictionary
-
- getAnnotation() - Method in class opennlp.uima.util.AnnotationIteratorPair
-
- getDictionary() - Method in interface opennlp.uima.dictionary.DictionaryResource
-
- getDictionary() - Method in class opennlp.uima.dictionary.DictionaryResourceImpl
-
- getModel() - Method in interface opennlp.uima.chunker.ChunkerModelResource
-
- getModel() - Method in class opennlp.uima.chunker.ChunkerModelResourceImpl
-
- getModel() - Method in interface opennlp.uima.doccat.DoccatModelResource
-
- getModel() - Method in class opennlp.uima.doccat.DoccatModelResourceImpl
-
- getModel() - Method in interface opennlp.uima.namefind.TokenNameFinderModelResource
-
- getModel() - Method in class opennlp.uima.namefind.TokenNameFinderModelResourceImpl
-
- getModel() - Method in interface opennlp.uima.parser.ParserModelResource
-
- getModel() - Method in class opennlp.uima.parser.ParserModelResourceImpl
-
- getModel() - Method in interface opennlp.uima.postag.POSModelResource
-
- getModel() - Method in class opennlp.uima.postag.POSModelResourceImpl
-
- getModel() - Method in interface opennlp.uima.sentdetect.SentenceModelResource
-
- getModel() - Method in class opennlp.uima.sentdetect.SentenceModelResourceImpl
-
- getModel() - Method in interface opennlp.uima.tokenize.TokenizerModelResource
-
Retrieves the shared model instance.
- getModel() - Method in class opennlp.uima.tokenize.TokenizerModelResourceImpl
-
- getOptionalBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves an optional parameter from the given context.
- getOptionalBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves an optional boolean parameter from the given context.
- getOptionalFeature(Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getOptionalFeatureParameter(UimaContext, Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getOptionalFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves an optional parameter from the given context.
- getOptionalFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves an optional boolean parameter from the given context.
- getOptionalIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves an optional parameter from the given context.
- getOptionalIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves an optional boolean parameter from the given context.
- getOptionalIntegerParameter(UimaContext, String, int) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves an optional boolean parameter from the given context.
- getOptionalResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getOptionalResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
- getOptionalStringArrayParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getOptionalStringArrayParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
- getOptionalStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves an optional parameter from the given context.
- getOptionalStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves an optional boolean parameter from the given context.
- getOptionalType(TypeSystem, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a type from the given type system.
- getOptionalTypeParameter(UimaContext, TypeSystem, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getRequiredBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a required parameter from the given context.
- getRequiredBooleanParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a required boolean parameter from the given context.
- getRequiredFeature(Type, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getRequiredFeature(Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a required feature from the given type.
- getRequiredFeatureParameter(UimaContext, Type, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getRequiredFeatureParameter(UimaContext, Type, String, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getRequiredFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a required parameter from the given context.
- getRequiredFloatParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a required parameter form the given context.
- getRequiredIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a required parameter from the given context.
- getRequiredIntegerParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a required parameter form the given context.
- getRequiredStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a required parameter from the given context.
- getRequiredStringParameter(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a required parameter form the given context.
- getRequiredTypeParameter(UimaContext, TypeSystem, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
- getResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a resource as stream from the given context.
- getResourceAsStream(UimaContext, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a resource as stream from the given context.
- getSubIterator() - Method in class opennlp.uima.util.AnnotationIteratorPair
-
- getType(TypeSystem, String) - Static method in class opennlp.uima.util.AnnotatorUtil
-
Retrieves a type of the given name from the given type system.
- getType(TypeSystem, String) - Static method in class opennlp.uima.util.CasConsumerUtil
-
Retrieves a type from the given type system.
- initialize(UimaContext) - Method in class opennlp.uima.chunker.Chunker
-
Initializes the current instance with the given context.
- initialize() - Method in class opennlp.uima.chunker.ChunkerTrainer
-
Initializes the current instance.
- initialize() - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
-
- initialize() - Method in class opennlp.uima.namefind.DictionaryNameFinder
-
Initializes the current instance with the given context.
- initialize() - Method in class opennlp.uima.namefind.NameFinder
-
Initializes the current instance with the given context.
- initialize() - Method in class opennlp.uima.namefind.NameFinderTrainer
-
Initializes the current instance.
- initialize(UimaContext) - Method in class opennlp.uima.normalizer.Normalizer
-
Initializes the current instance with the given context.
- initialize(UimaContext) - Method in class opennlp.uima.parser.Parser
-
Initializes the current instance with the given context.
- initialize(UimaContext) - Method in class opennlp.uima.postag.POSTagger
-
Initializes the current instance with the given context.
- initialize() - Method in class opennlp.uima.postag.POSTaggerTrainer
-
Initializes the current instance.
- initialize(UimaContext) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
-
- initialize(UimaContext) - Method in class opennlp.uima.sentdetect.SentenceDetector
-
Initializes the current instance with the given context.
- initialize() - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
-
Initializes the current instance.
- initialize(UimaContext) - Method in class opennlp.uima.tokenize.AbstractTokenizer
-
- initialize(UimaContext) - Method in class opennlp.uima.tokenize.Tokenizer
-
Initializes the current instance with the given context.
- initialize() - Method in class opennlp.uima.tokenize.TokenizerTrainer
-
Initializes the current instance.
- INVALID_DICTIONARY_FORMAT - Static variable in class opennlp.uima.util.ExceptionMessages
-
- IO_ERROR_DICTIONARY_READING - Static variable in class opennlp.uima.util.ExceptionMessages
-
- IO_ERROR_MODEL_READING - Static variable in class opennlp.uima.util.ExceptionMessages
-
- IS_REMOVE_EXISTINGS_ANNOTAIONS - Static variable in class opennlp.uima.util.UimaUtil
-
- isLanguageSupported(String) - Static method in class opennlp.uima.normalizer.NumberUtil
-
Checks if the language is supported.
- isStateless() - Method in class opennlp.uima.chunker.ChunkerTrainer
-
The trainer is not stateless.
- isStateless() - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
-
The trainer is not stateless.
- isStateless() - Method in class opennlp.uima.namefind.NameFinderTrainer
-
The trainer is not stateless.
- isStateless() - Method in class opennlp.uima.postag.POSTaggerTrainer
-
The trainer is not stateless.
- isStateless() - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
-
The trainer is not stateless.
- isStateless() - Method in class opennlp.uima.tokenize.TokenizerTrainer
-
The trainer is not stateless.
- ITERATIONS_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
-
- iterator() - Method in class opennlp.uima.util.AnnotationComboIterator
-
- TAG_DICTIONARY_NAME - Static variable in class opennlp.uima.postag.POSTaggerTrainer
-
- TOKEN_CLASS_FEATURE_NEXT_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_CLASS_FEATURE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_CLASS_FEATURE_PREV_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_FEATURE_NEXT_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_FEATURE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_FEATURE_PREV_WINDOW_SIZE_PARAMETER - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_PATTERN_OPTIMIZATION - Static variable in class opennlp.uima.namefind.NameFinder
-
- TOKEN_TYPE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
-
The token type parameter.
- Tokenizer - Class in opennlp.uima.tokenize
-
OpenNLP Tokenizer annotator.
- Tokenizer() - Constructor for class opennlp.uima.tokenize.Tokenizer
-
Initializes a new instance.
- TokenizerModelResource - Interface in opennlp.uima.tokenize
-
A TokenizerModel
which can be shared between AnalysisEngine
s
and loaded via the UIMA resource model.
- TokenizerModelResourceImpl - Class in opennlp.uima.tokenize
-
- TokenizerModelResourceImpl() - Constructor for class opennlp.uima.tokenize.TokenizerModelResourceImpl
-
- TokenizerTrainer - Class in opennlp.uima.tokenize
-
OpenNLP Tokenizer trainer.
- TokenizerTrainer() - Constructor for class opennlp.uima.tokenize.TokenizerTrainer
-
- TokenNameFinderModelResource - Interface in opennlp.uima.namefind
-
- TokenNameFinderModelResourceImpl - Class in opennlp.uima.namefind
-
- TokenNameFinderModelResourceImpl() - Constructor for class opennlp.uima.namefind.TokenNameFinderModelResourceImpl
-
- TRAINING_PARAMS_FILE_PARAMETER - Static variable in class opennlp.uima.util.UimaUtil
-
- TYPE_FEATURE_PARAMETER - Static variable in class opennlp.uima.parser.Parser
-
- TYPE_NOT_FOUND - Static variable in class opennlp.uima.util.ExceptionMessages
-
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.chunker.Chunker
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.chunker.ChunkerTrainer
-
Initialize the current instance with the given type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.doccat.DocumentCategorizer
-
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.doccat.DocumentCategorizerTrainer
-
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.namefind.NameFinder
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.namefind.NameFinderTrainer
-
Initialize the current instance with the given type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.normalizer.Normalizer
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.parser.Parser
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.postag.POSTagger
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.postag.POSTaggerTrainer
-
Initialize the current instance with the given type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.sentdetect.AbstractSentenceDetector
-
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.sentdetect.SentenceDetector
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.sentdetect.SentenceDetectorTrainer
-
Initializes the current instance with the given type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.tokenize.AbstractTokenizer
-
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.tokenize.Tokenizer
-
Initializes the type system.
- typeSystemInit(TypeSystem) - Method in class opennlp.uima.tokenize.TokenizerTrainer
-
Initialize the current instance with the given type system.