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

✍ Scribed by Martin, James H.; Jurafsky, Dan

• Publisher: Prentice Hall
• Year: 2000
• Tongue: English
• Leaves: 963
• Series: Prentice Hall series in artificial intelligence
• Edition: 1ed.
• Category: Library

✦ Table of Contents

Content: 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.

✦ Subjects

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