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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: TextTextSeries: Prentice Hall series in artificial intelligence. Publisher: Upper Saddle River, N.J. : Prentice Hall c2000Description: xxvi, 934 p. ; 25 cm.ISBN: 0130950696; 9780130950697; 013122798X .Subject(s): Computational linguistics | Automatic speech recognitionDDC classification: 005.133 Online resources: WorldCat details
Contents:
Table of contents 1. Introduction -- I. Words. 2. Regular Expressions and Automata. 3. Morphology and Finite-State Transducers. 4. Computational Phonology and Text-to-Speech. 5. Probabilistic Models of Pronunciation and Spelling. 6. N-grams. 7. HMMs and Speech Recognition -- II. Syntax. 8. Word Classes and Part-of-Speech Tagging. 9. Context-Free Grammars for English. 10. Parsing with Context-Free Grammars. 11. Features and Unification. 12. Lexicalized and Probabilistic Parsing. 13. Language and Complexity -- III. Semantics. 14. Representing Meaning. 15. Semantic Analysis. 16. Lexical Semantics. 17. Word Sense Disambiguation and Information Retrieval -- IV. Pragmatics. 18. Discourse. 19. Dialogue and Conversational Agents.
Summary: Summary: "This book offers a unified vision of speech and language processing, presenting state-of-the-art algorithms and techniques for both speech and text-based processing of natural language. This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, Read more...
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Online version:
Jurafsky, Dan, 1962-
Speech and language processing.
Upper Saddle River, N.J. : Prentice Hall, 2000
(OCoLC)644741937

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

Table of contents 1. Introduction --
I. Words. 2. Regular Expressions and Automata. 3. Morphology and Finite-State Transducers. 4. Computational Phonology and Text-to-Speech. 5. Probabilistic Models of Pronunciation and Spelling. 6. N-grams. 7. HMMs and Speech Recognition --
II. Syntax. 8. Word Classes and Part-of-Speech Tagging. 9. Context-Free Grammars for English. 10. Parsing with Context-Free Grammars. 11. Features and Unification. 12. Lexicalized and Probabilistic Parsing. 13. Language and Complexity --
III. Semantics. 14. Representing Meaning. 15. Semantic Analysis. 16. Lexical Semantics. 17. Word Sense Disambiguation and Information Retrieval --
IV. Pragmatics. 18. Discourse. 19. Dialogue and Conversational Agents.

Summary:
"This book offers a unified vision of speech and language processing, presenting state-of-the-art algorithms and techniques for both speech and text-based processing of natural language. This comprehensive work covers both statistical and symbolic approaches to language processing; it shows how they can be applied to important tasks such as speech recognition, spelling and grammar correction, information extraction, Read more...

Computer Science & Engineering

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