Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition / Daniel Jurafsky and James H. Martin.

By:

Jurafsky, Dan, 1962-

Contributor(s):

Martin, James H, 1959-

Material type:

TextSeries: Prentice Hall series in artificial intelligencePublication details: Upper Saddle River, N.J. : Prentice Hall 2000.Description: xxvi, 934 p. ; 25 cmISBN:

0130950696

Subject(s):

Summary: This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Books	MC Athens Campus Library	410.285 JUR (Browse shelf(Opens below))	1	Available	9780000098313

Includes bibliographical references (p. 851-902) and index.

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation.

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Κατάλογος Βιβλιοθηκών Mediterranean College

Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition / Daniel Jurafsky and James H. Martin.