000			02433nam a2200301 i 4500
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001			37526
003			BD-DhAAL
005			20211227115020.0
008			211004t2019 mau b 001 0 eng
010			_a 2018059552
020			_a9780262042840
040			_aDLC _beng _cDLC _erda _dDLC _dBD-DhAAL
042			_apcc
050	0	0	_aQA76.9.N38 _bE46 2019
082	0	0	_a006.35 _223
100	1		_aEisenstein, Jacob, _eauthor. _942121
245	1	0	_aIntroduction to natural language processing / _cJacob Eisenstein.
260			_aCambridge, Massachusetts : _bThe MIT Press, _cc2019
300			_axiv, 519 pages ; _c24 cm.
490	0		_aAdaptive computation and machine learning
504			_aIncludes bibliographical references (pages 459-508) and index.
520			_a"The book provides a technical perspective on the most contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. It also includes background in the salient linguistic issues, as well as computational representations and algorithms. The first section of the book explores what can be with individual words. The second section concerns structured representations such as sequences, trees, and graphs. The third section highlights different approaches to the representation and analysis of linguistic meaning. The final section describes three of the most transformative applications of natural language processing: information extraction, machine translation, and text generation. The book describes the technical foundations of the field, including the most relevant machine learning techniques, algorithms, and linguistic representations. From these foundations, it extends to contemporary research in areas such as deep learning. Each chapter contains exercises that include paper-and-pencil analysis of the computational algorithms and linguistic issues, as well as software implementations"--
526			_aCSE
650		0	_aNatural language processing (Computer science). _942122
650		7	_aComputer science. _942123
830			_aAdaptive computation and machine learning _942124
942			_2ddc _cBK