Statistical Language Learning

Charniak, Eugene

ISBN 10: 0262032163 / ISBN 13: 9780262032162

Editore: MIT Press, Cambridge, 1993

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8vo, 170 pp.

Codice articolo 086947

Dati bibliografici

• Titolo: Statistical Language Learning
• Editore: MIT Press, Cambridge
• Data di pubblicazione: 1993
• Lingua: Inglese
• ISBN 10: 0262032163
• ISBN 13: 9780262032162
• Rilegatura: hardcover
• Edizione: 1st.
• Condizione: Fine copy in fine dust jacket
• Condizione della sovraccoperta: sovraccoperta
• Cataloghi dei venditori:
  • Mathematics

Descrizione articolo

Riassunto

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

L'autore

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