Statistical Language Learning

Eugene Charniak

ISBN 10: 0262032163 / ISBN 13: 9780262032162

Verlag: MIT Press, MA, 1993

Beschreibung

Very clean and tight copy. "This book aims to acquaint the reader both with the current state of the art in statistical language processing.and the mathematical background necessary to understand the field." Support a B&M shop. Bestandsnummer des Verkäufers 000076

Bibliografische Details

Titel: Statistical Language Learning

Verlag: MIT Press, MA

Erscheinungsdatum: 1993

Einband: Hardcover

Zustand: Good

Zustand des Schutzumschlags: Very Good

Über diesen Titel

Inhaltsangabe:

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

Críticas:

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