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Statistical Language Learning (Language, Speech, and Communication)



eBook Information



Statistical Language Learning (Language, Speech, and Communication)

ISBN  0262032163
Release Date  04 January 1994
Category  Natural Language Processing
Tags  speech,  
statistic,  
language,  
statistical,  
learning,  
0262032163,  
speech recognition,  
speech and language processing,  
stat,  
natural language,  
machine learning,  
communication,  
2007 speech,  
natural language processing,  
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Description

Eugene Charniak breaks new ground in artificial intelligence research by presenting statistical language processing from an artificial intelligence point of view in a text for researchers and scientists with a traditional computer science background.

New, exacting empirical methods are needed to break the deadlock in such areas of artificial intelligence as robotics, knowledge representation, machine learning, machine translation, and natural language processing (NLP). It is time, Charniak observes, to switch paradigms. This text introduces statistical language processing techniques -- word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation -- along with the underlying mathematics and chapter exercises.

Charniak points out that as a method of attacking NLP problems, the statistical approach has several advantages. It is grounded in real text and therefore promises to produce usable results, and it offers an obvious way to approach learning: "one simply gathers statistics."









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