Package edu.illinois.cs.cogcomp.lbjava.nlp

Class Summary

Class	Description
Affixes	This class implements a classifier that takes a Word as input and generates features representing the prefixes and suffixes of the input word.
Capitalization	This class implements a classifier that takes a Word as input and generates Boolean features representing the capitalizations of the words in a [-2, +2] window around the input word.
ColumnFormat	This parser returns arrays of Strings representing the rows of a file in column format.
DataReader	A generic data reader class that can be used to interface with the `LBJava` Parser code.
Forms	This class implements a classifier that takes a Word as input and generates features representing the forms of the words in a [-2, +2] window around the input word.
NLDocument	Use this class to represent a natural language document.
POS	This class converts the String names of POS tags into discrete integer values.
POSBracketToVector	Use this parser to return LinkedVector objects representing sentences given file names of POS bracket form files to parse.
POSBracketToWord	Deprecated As of LBJava release 2.0.4, the functionality of this class has been superceded by the ChildrenFromVectors parser used in conjunction with POSBracketToVector.
Sentence	This representation of a sentence simply stores the entire text of the sentence in a string.
SentenceSplitter	Use this class to extract sentences from plain text.
StringArraysToWords	This parser calls another parser that returns arrays of Strings, converts the Strings to Words, and returns LinkedVectors of Words.
Word	Implementation of a word for natural language processing.
WordsInDocumentByDirectory	This parser creates and returns labeled arrays of Strings, each representing all the words in a document.
WordSplitter	This parser takes the plain, unannotated Sentences returned by another parser (e.g., SentenceSplitter) and splits them into Word objects.
WordTypeInformation	This class implements a classifier that takes a Word as input and generates Boolean features representing interesting information about the forms of the words in a [-2, +2] window around the input word.