Package opennlp.tools.util

Package containing utility data structures and algorithms used by multiple other packages.

Interface Summary

Interface	Description
BeamSearchContextGenerator<T>	Interface for context generators used with a sequence beam search.
InputStreamFactory	Allows repeated reads through a stream for certain model building types.
ObjectStream<T>	Reads objects from a stream.
ResetableIterator<E>	This interface makes an Iterator resettable.
SequenceCodec<T>	A codec for sequences of type SequenceCodec.
SequenceValidator<T>

Class Summary

Class	Description
AbstractEventStream<T>	A base ObjectStream implementation for events.
AbstractObjectStream<T>	A base ObjectStream implementation.
BaseToolFactory	Base class for all tool factories.
Cache<K,V>	Provides fixed size, pre-allocated, least recently used replacement cache.
CollectionObjectStream<E>	An ObjectStream implementation that works on a Collection of CollectionObjectStream as source for elements.
DownloadUtil	This class facilitates the downloading of pretrained OpenNLP models.
EventTraceStream
FilterObjectStream<S,T>	Abstract base class for filtering streams.
MarkableFileInputStreamFactory	A factory that creates MarkableFileInputStream from a File
MutableInt	This is a non-thread safe mutable int.
ObjectStreamUtils
ParagraphStream	A FilterObjectStream which merges text lines into paragraphs.
PlainTextByLineStream	Reads a plain text file and returns each line as a String object.
ReverseListIterator<T>	An iterator for a list which returns values in the opposite order as the typical list iterator.
Sequence	Represents a weighted sequence of outcomes.
Span	Class for storing start and end integer offsets.
StringList	A StringList is an immutable list of Strings.
StringUtil
TokenTag
TrainingParameters	Declares and handles default parameters used for or during training models.
Version	The Version class represents the OpenNLP Tools library version.
XmlUtil

Enum Summary

Enum	Description
DownloadUtil.ModelType	The type of model.

Exception Summary

Exception	Description
InsufficientTrainingDataException	This exception indicates that the provided training data is insufficient to train a desired model.
InvalidFormatException	This exception indicates that a resource violates the expected data format.