| 000 | 01504nam a22002417a 4500 | ||
|---|---|---|---|
| 005 | 20250804131156.0 | ||
| 006 | a|||||r||||||||||| | ||
| 008 | 250804b |||||||| |||| 00| 0 eng d | ||
| 020 | _a0130950696 | ||
| 040 |
_aGR-AtMCL _dGR-AtMCL _beng _eAACR2 |
||
| 100 |
_aJurafsky, Dan, _d1962- _99919 |
||
| 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. |
||
| 300 |
_axxvi, 934 p. ; _c25 cm. |
||
| 440 | 0 | _aPrentice Hall series in artificial intelligence | |
| 504 | _aIncludes bibliographical references (p. 851-902) and index. | ||
| 520 | _aThis book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. | ||
| 650 | 0 |
_aComputational linguistics _99920 |
|
| 650 | 0 |
_aComputing _99851 |
|
| 700 | 1 |
_aMartin, James H., _d1959- _91850 |
|
| 942 | _cBK | ||
| 999 |
_c9859 _d9859 |
||