Statistical Language Learning - Rilegato

Charniak, Eugene

 
9780262032162: Statistical Language Learning

Sinossi

Eugene Charniak breaks new ground in artificial intelligenceresearch by presentingstatistical language processing from an artificial intelligence point of view in a text forresearchers and scientists with a traditional computer science background.New, exacting empiricalmethods 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 languageprocessing techniques ;word tagging, parsing with probabilistic context free grammars, grammarinduction, syntactic disambiguation, semantic wordclasses, word-sense disambiguation ;along with theunderlying mathematics and chapter exercises.Charniak points out that as a method of attacking NLPproblems, the statistical approach has several advantages. It is grounded in real text and thereforepromises to produce usable results, and it offers an obvious way to approach learning: "one simplygathers statistics."Language, Speech, and Communication

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L'autore

Eugene Charniak is Professor and Chairman, Department of Computer Science, Brown University.

Product Description

Book by Charniak Eugene

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Altre edizioni note dello stesso titolo

9780262531412: Statistical Language Learning

Edizione in evidenza

ISBN 10:  0262531410 ISBN 13:  9780262531412
Casa editrice: MIT Press, 1996
Brossura