All Classes and Interfaces

Class
Description
Base class provides access to a shared resource, eg. a model or dictionary.
 
 
UIMA Annotation iterator combination of super- and subiterator.
Checks two annotations for equality.
A pair of a UIMA annotation and an annotation iterator.
Provides utility methods for Annotators.
An OpenNLP-based Chunker annotator.
A resource encapsulating an OpenNLP ChunkerModel which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of ChunkerModelResource.
Checks if an AnnotationFS is contained by the given AnnotationFS.
 
A resource encapsulating an OpenNLP Dictionary which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of DictionaryResource.
A resource encapsulating an OpenNLP DoccatModel which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of DoccatModelResource.
A default implementation of an OpenNLP Document Categorizer.
This class contains constants for the exception messages in the exception message catalog.
Analysis Engine (AE) which can detect the language of a text.
An OpenNLP-based Name annotator.
The Normalizer tries the structure annotations.
Provides methods to parse numbers which occur in natural language texts.
 
Provides utility methods for OpenNLP's maxent library.
Base class for OpenNLP-based Parser annotators.
A resource encapsulating an OpenNLP ParserModel which can be shared between * analysis engines and loaded via the UIMA resource model.
A default implementation of ParserModelResource.
A resource encapsulating an OpenNLP POSModel which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of POSModelResource.
OpenNLP Part Of Speech annotator.
An OpenNLP-based Sentence annotator.
A resource encapsulating an OpenNLP SentenceModel which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of SentenceModelResource.
An OpenNLP-based Simple Tokenizer annotator.
 
An OpenNLP-based Tokenizer annotator.
A resource encapsulating an OpenNLP TokenizerModel which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of TokenizerModelResource.
A resource encapsulating an OpenNLP TokenNameFinderModel which can be shared between analysis engines and loaded via the UIMA resource model.
A default implementation of TokenNameFinderModelResource.
Defines constants and provides utility methods for uima operations.
An OpenNLP-based Whitespace Tokenizer annotator.