000			02023nam a2200289 i 4500
003			IN-BdCUP
005			20250103125021.0
008			101021s2010||||enk o ||1 0|eng|d
020			_a9780511815829 (ebook) _z9780521874151 (hardback)
040			_aIN-BdCUP _beng _cIN-BdCUP _erda
041			_aeng
050			_aP308 _b.K64 2010
082			_a418.0203
100			_aKoehn,Philipp _eAuthor
245		0	_aStatistical machine translation / _cPhilipp Koehn.
264			_aCambridge : _bCambridge University Press, _c2010
300			_a1 online resource (xii, 433 pages) : _bdigital, PDF file(s).
336			_atext _btxt
337			_2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aThe dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.
650			_aMachine translating. _aTranslating and interpreting _xData processing.
776			_iPrint version: _z9780511815829
856			_3Electronic Book Resource _uhttps://doi.org/10.1017/CBO9780511815829
942			_2ddc _cE
999			_c54666 _d54666