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005 | 20170319143744.0 | ||
008 | 991227s2000 njua b 001 0 eng | ||
010 | _a 99087845 | ||
020 | _a0130950696 | ||
035 | _a(OCoLC)43324289 | ||
035 | _a(OCoLC)ocm43324289 | ||
035 | _a(NNC)2432073 | ||
040 |
_aDLC _cDLC _dNNC _dNNC _dBD-ChPU _bENG |
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042 | _apcc | ||
050 | 0 | 0 |
_aP98 _b.J87 2000 |
082 | 0 | 0 |
_a410/.285 J91s 2002 _221 |
100 | 1 |
_aJurafsky, Dan, _d1962- _9746 |
|
245 | 1 | 0 |
_aSpeech and language processing : _ban introduction to natural language processing, computational linguistics, and speech recognition / _cDaniel Jurafsky and James H. Martin. |
260 |
_aUpper Saddle River, N.J. : _bPrentice Hall _c2000 (Indian Reprint 2002) |
||
300 |
_axxvi, 934 p. : _bill. ; _c24 cm. |
||
490 | 1 | _aPrentice Hall series in artificial intelligence | |
504 | _aIncludes bibliographical references and index. | ||
505 | 0 | 0 |
_g1. _tIntroduction -- _gI. _tWords. _g2. _tRegular Expressions and Automata. _g3. _tMorphology and Finite-State Transducers. _g4. _tComputational Phonology and Text-to-Speech. _g5. _tProbabilistic Models of Pronunciation and Spelling. _g6. _tN-grams. _g7. _tHMMs and Speech Recognition -- _gII. _tSyntax. _g8. _tWord Classes and Part-of-Speech Tagging. _g9. _tContext-Free Grammars for English. _g10. _tParsing with Context-Free Grammars. _g11. _tFeatures and Unification. _g12. _tLexicalized and Probabilistic Parsing. _g13. _tLanguage and Complexity -- _gIII. _tSemantics. _g14. _tRepresenting Meaning. _g15. _tSemantic Analysis. _g16. _tLexical Semantics. _g17. _tWord Sense Disambiguation and Information Retrieval -- _gIV. _tPragmatics. _g18. _tDiscourse. _g19. _tDialogue and Conversational Agents. _g20. _tNatural Language Generation. _g21. _tMachine Translation. _gApp. A. _tRegular Expression Operators -- _gApp. B. _tThe Porter Stemming Algorithm -- _gApp. C. _tC5 and C7 tagsets -- _gApp. D. _tTraining HMMs: The Forward-Backward Algorithm. |
520 | 1 | _a"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. | |
520 | 8 | _aThis 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. | |
526 | _aDELL | ||
650 | 0 |
_aComputational linguistics. _9747 |
|
650 | 0 |
_aAutomatic speech recognition. _9748 |
|
700 | 1 |
_aMartin, James H., _d1959- _9749 |
|
830 | 0 |
_aPrentice Hall series in artificial intelligence. _9750 |
|
900 | _bTOC | ||
942 |
_2ddc _cBK |