Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

Name: Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
Price: 21.11 USD
Availability: InStock
ISBN: 9780130950697

ISBN-10: 0130950696

ISBN-13: 9780130950697

Edition: 2000

Authors: Daniel Jurafsky, James H. Martin

List price: $115.00

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Description:

This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodologyboxes are included in each chapter.Each chapter is built around one or more worked examplesto 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.Useful as a reference for professionals in any of the areas of speech and language processing.

Book details

List price: $115.00
Copyright year: 2000
Publisher: Pearson Education
Publication date: 1/26/2000
Binding: Hardcover
Pages: 934
Size: 7.50" wide x 9.75" long x 1.50" tall
Weight: 3.344
Language: English

Dan Jurafsky is the recipient of a MacArthur "Genius Grant" and a professor of linguistics at Stanford University. He and his wife live in San Francisco.



Introduction



Words



Regular Expressions and Automata



Morphology and Finite-State Transducers



Computational Phonology and Text-to-Speech



Probabilistic Models of Pronunciation and Spelling



N-grams



HMMs and Speech Recognition



Syntax



Word Classes and Part-of-Speech Tagging



Context-Free Grammars for English



Parsing with Context-Free Grammars



Features and Unification



Lexicalized and Probabilistsic Parsing



Language and Complexity



Semantics



Representing Meaning



Semantic Analysis



Lexical Semantics



Word Sense Disambiguation and Information Retrieval



Pragmatics



Discourse



Dialogue and Conversational Agents



Natural Language Generation



Machine Translation


Appendices



Regular Expression Operators



The Porter Stemming Algorithm



C5 and C7 tagsets



Training HMMs: The Forward-Backward


lAlgorithm


Bibliography


Index