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OverviewThis text presents statistical language processing from an artificial intelligence point of view intended for researchers and scientists with a traditional computer science background. The book argues that 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 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. The author points out that as a method of attacking NLP problems, the statistical approach has several advantages. It is grounded in real text and therefore produces usable results. Full Product DetailsAuthor: Eugene CharniakPublisher: MIT Press Ltd Imprint: MIT Press Dimensions: Width: 15.00cm , Height: 1.00cm , Length: 22.40cm Weight: 0.385kg ISBN: 9780262032162ISBN 10: 0262032163 Pages: 190 Publication Date: 04 January 1994 Recommended Age: From 18 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Out of Print Availability: Out of stock  Table of ContentsReviewsThis is a lovely book. -- David Nye """This is a lovely book."" -- David Nye" Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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