Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition

書誌事項

Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition

Daniel Jurafsky and James H. Martin

(Prentice Hall series in artificial intelligence)

Prentice Hall, c2000

大学図書館所蔵 件 / 全47件

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注記

Contributing writers: Andrew Kehler, Keith Vander Linden, and Nigel Ward

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

内容説明・目次

内容説明

For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corporations. Author Website with Resources: http://www.cs.colorado.edu/~martin/slp.html

目次

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 Probabilistsic 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. 20. Natural Language Generation. 21. Machine Translation. APPENDICES. A. Regular Expression Operators. B. The Porter Stemming Algorithm. C. C5 and C7 tagsets. D. Training HMMs: The Forward-Backward Algorithm. Bibliography. Index.

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