000			01193cam a2200325 a 4500
005			20081016183924.0
008			080305s2009 njua b 001 0 eng
001			275430
020			_a0131873210
020			_a0135041961
020			_a9780131873216
020			_a9780135041963
040			_aNEU
041			_aeng
050	0	0	_aP98
100	1		_aJurafsky, Dan, _d1962-
245	1	0	_aSpeech and language processing : _ban introduction to natural language processing, computational linguistics, and speech recognition / _cDaniel Jurafsky, James H. Martin.
250			_a2nd ed.
260			_aUpper Saddle River, N.J. : _bPearson Prentice Hall, _c2009.
300			_axxxi, 1024 p. : _bill. ; _c25 cm.
440		0	_aPrentice Hall series in artificial intelligence.
504			_aIncludes bibliographical references (p. 909-958) and indexes.
520			_aFor undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing.
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 text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.
650		0	_aComputational linguistics.
650		0	_aAutomatic speech recognition.
700	1		_aMartin, James H., _d1959-
942			_x1000007 _kP00000098J872009 _cBOOK
999			_c252058