Items related to Statistical Language Learning (Language, Speech, and...
Synopsis
Eugene Charniak breaks new ground in artificial intelligenceresearch 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 wordclasses, 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."Language, Speech, and Communication
"synopsis" may belong to another edition of this title.
About the Author
Eugene Charniak is Professor and Chairman, Department of Computer Science, Brown University.
Review
"This is a lovely book."
(David Nye)"About this title" may belong to another edition of this title.
- PublisherBradford Books
- Publication date1994
- ISBN 10 0262032163
- ISBN 13 9780262032162
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages192
- Rating
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Statistical Language Learning (Language, Speech, and Communication)
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Statistical Language Learning
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Statistical Language Learning (Language, Speech and Communication)
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Statistical Language Learning
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Statistical Language Learning
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MIT Press, Cambridge, 1993
ISBN 10: 0262032163
ISBN 13: 9780262032162
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