Speech and language processing :
Jurafsky, Dan, 1962-
Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition / Daniel Jurafsky and James H. Martin. - Upper Saddle River, N.J. : Prentice Hall 2000 (Indian Reprint 2002) - xxvi, 934 p. : ill. ; 24 cm. - Prentice Hall series in artificial intelligence . - Prentice Hall series in artificial intelligence. .
Includes bibliographical references and index.
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 Probabilistic 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. Regular Expression Operators -- The Porter Stemming Algorithm -- C5 and C7 tagsets -- Training HMMs: The Forward-Backward Algorithm. 1. I. 2. 3. 4. 5. 6. 7. II. 8. 9. 10. 11. 12. 13. III. 14. 15. 16. 17. IV. 18. 19. 20. 21. App. A. App. B. App. C. App. D.
"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, search engines, machine translation, and the creation of spoken-language dialog agents."--BOOK JACKET.
0130950696
99087845
Computational linguistics.
Automatic speech recognition.
P98 / .J87 2000
410/.285 J91s 2002
Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition / Daniel Jurafsky and James H. Martin. - Upper Saddle River, N.J. : Prentice Hall 2000 (Indian Reprint 2002) - xxvi, 934 p. : ill. ; 24 cm. - Prentice Hall series in artificial intelligence . - Prentice Hall series in artificial intelligence. .
Includes bibliographical references and index.
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 Probabilistic 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. Regular Expression Operators -- The Porter Stemming Algorithm -- C5 and C7 tagsets -- Training HMMs: The Forward-Backward Algorithm. 1. I. 2. 3. 4. 5. 6. 7. II. 8. 9. 10. 11. 12. 13. III. 14. 15. 16. 17. IV. 18. 19. 20. 21. App. A. App. B. App. C. App. D.
"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, search engines, machine translation, and the creation of spoken-language dialog agents."--BOOK JACKET.
0130950696
99087845
Computational linguistics.
Automatic speech recognition.
P98 / .J87 2000
410/.285 J91s 2002