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|a Jurafsky, Dan,
|d 1962-
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|a Speech and language processing :
|b an introduction to natural language processing, computational linguistics, and speech recognition /
|c Daniel Jurafsky, James H. Martin.
|
| 250 |
|
|
|a 2nd ed.
|
| 260 |
|
|
|a Upper Saddle River, N.J. :
|b Pearson Prentice Hall,
|c ©2009.
|
| 300 |
|
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|a xxxi, 988 pages :
|b illustrations ;
|c 25 cm.
|
| 336 |
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|b txt
|2 rdacontent
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| 490 |
1 |
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|a Prentice Hall series in artificial intelligence
|
| 504 |
|
|
|a Includes bibliographical references (pages 909-958) and indexes.
|
| 505 |
1 |
0 |
|g 1.
|g Introduction --
|g 1. I
|t Words --
|g 2.
|t Regular Expressions and Automata --
|g 3.
|t Words and Transducers --
|g 4.
|t N-grams --
|g 5.
|t Part-of-Speech Tagging --
|g 6.
|t Hidden Markov and Maximum Entropy Models --
|g II
|t Speech --
|g 7.
|t Phonetics --
|g 8.
|t Speech Synthesis --
|g 9.
|t Automatic Speech Recognition --
|g 10.
|t Speech Recognition: Advanced Topics --
|g 11.
|t Computational Phonology --
|g III.
|t Syntax -- 12. Formal Grammars of English -- 13. Syntactic Parsing -- 14. Statistical Parsing -- 15. Features and Unification --
|g 16.
|t Language and Complexity --
|g IV.
|t Semantics and pragmatics --
|g 17.
|t Representation of Meaning --
|g 18.
|t Computational Semantics --
|g 19.
|t Lexical Semantics --
|g 20.
|t Computational Lexical Semantics --
|g 21.
|t Computational Discourse --
|g V.
|t Applications --
|g 22.
|t Information Extraction --
|g 23.
|t Question Answering and Summarization --
|g 24.
|t Dialogue and Conversational Agents --
|g 25.
|t Machine Translation.
|
| 520 |
|
|
|a An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology - at all levels and with all modern technologies - this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. A useful reference for professionals in any of the areas of speech and language processing. -- Book Description from Website.
|
| 650 |
|
0 |
|a Computational linguistics.
|
| 650 |
|
0 |
|a Automatic speech recognition.
|
| 700 |
1 |
|
|a Martin, James H.,
|d 1959-
|
| 830 |
|
0 |
|a Prentice Hall series in artificial intelligence.
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