| Description |
xxvi, 934 pages : illustrations ; 25 cm |
| Series |
Prentice Hall series in artificial intelligence |
|
Prentice Hall series in artificial intelligence.
|
| 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. 20. Natural Language Generation. 21. Machine Translation -- App. A. Regular Expression Operators -- App. B. The Porter Stemming Algorithm -- App. C. C5 and C7 tagsets -- App. D. Training HMMs: The Forward-Backward Algorithm |
| 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, search engines, machine translation, and the creation of spoken-language dialog agents."--BOOK JACKET |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Automatic speech recognition.
|
|
Computational linguistics.
|
| Author |
Martin, James H., 1959-
|
| LC no. |
99087845 |
| ISBN |
0130950696 : |
|
