Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition

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.--jacket. 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. Daniel Jurafsky And James H. Martin. Includes Bibliographical References (p. 851-902) And Index.