000			02639nam a22002537a 4500
999			_c51180 _d52727
003			ISURa
008			181218b xxu||||| |||| 00| 0 eng d
020			_a9789332518414
041			_aEnglish
082			_a410.285 _bJUR
100			_aJurafsky, Daniel _927780
245			_aSpeech and language processing _b an introduction to natural language processing computational linguistics, and speech recognition
250			_a2nd ed.
260			_aIndia _bUpper Saddle River, N.J. : Pearson Prentice Hall _c©2009
300			_a940 p. _bsome col. _c 25 cm.
440			_aPrentice Hall series in artificial intelligence. _968380
500			_aIntroduction -- Regular Expressions and Automata -- Words & Transducers -- N-grams -- Part-of-Speech Tagging -- Hidden Markov and Maximum Entropy Models -- Phonetics -- Speech Synthesis -- Automatic Speech Recognition -- Speech Recognition: Advanced Topics -- Computational Phonology -- Formal Grammars of English -- Syntactic Parsing -- Statistical Parsing -- Features and Unification -- Language and Complexity -- The Representation of Meaning -- Computational Semantics -- Lexical Semantics -- Computational Lexical Semantics -- Computational Discourse -- Information Extraction -- Question Answering and Summarization -- Dialogue and Conversational Agents -- Machine Translation.
520			_aAn 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			_aComputational linguistics. _92426
650			_a Automatic speech recognition _968381
650			_aNatural Language Processing. _968382
700			_aMartin, James H. _968383
942			_2ddc _cLN