Package dragon.nlp

Define data structures used for natural language processing

See:
Description

Interface Summary

Concept	Interface of Concept which could be a single word, a multiword phrase, or an ontological term
DocumentParser	Parse a text document into paragraphs, sentences and words

Class Summary

Counter	A light integer counter
Document	Data structure for document
Paragraph	Data structure for paragraph of document
Phrase	Data structure for phrase
Sentence	Data structure for sentence extracted from text
SimpleElement	This is a light data structor for data element that can be used for simple pair
SimpleElementList	The list data structure for simple element data
SimplePair	This is a light data structure for pair data
SimplePairList	Simple pair list is the list for pair data elements
Term	Term is designed for Universal Medical Langauge System (UMLS) medical concept that can stores n-grams and its semantic and statistical information
Token	Token is a cute unit data structure for handling nlp task or other operations
Triple	Triple is data structure for binary relation extracted from text
Word	This is a supporting class for Term and Phrase class which can contain multi words

Package dragon.nlp Description

Define data structures used for natural language processing

Package Specification

Document, Paragraph, Sentence and Word are designed for text parsing and tokenization during natural language processing. Three different type of concepts are implemented for different use. A token often corresponds to a single word. A phrase consists of mutilple adjacent words. A term denotes an ontological concepts. Thus it can consist of multiple adjacent words as does a phrase. Moreover, it often has a unique entry ID defined in the domain ontology.