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999 _c246
_d246
001 2432073
003 BD-ChPU
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
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