Statistical Language Learning

Charniak, Eugene

ISBN 10: 0262032163 / ISBN 13: 9780262032162

Published by MIT Press, Cambridge, 1993

About this Item

8vo, 170 pp.

Seller Inventory # 086947

Bibliographic Details

• Title: Statistical Language Learning
• Publisher: MIT Press, Cambridge
• Publication Date: 1993
• Language: English
• ISBN 10: 0262032163
• ISBN 13: 9780262032162
• Binding: hardcover
• Edition: 1st.
• Condition: Fine copy in fine dust jacket
• Dust Jacket Condition: Dust Jacket Included
• Seller catalogs:
  • Mathematics

About this title

Synopsis

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

Review

"This is a lovely book." -- David Nye