Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition
Author(s)
Bibliographic Information
Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition
（Prentice Hall series in artificial intelligence）
Prentice Hall, c2000
International ed
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Note
Contributing writers: Andrew Kehler, Keith Vander Linden, and Nigel Ward
Includes bibliographical references (p. 851-902) and index
Description and Table of Contents
Description
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
Table of 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 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.
by "Nielsen BookData"
