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Record ID harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:185825503:2336
Source harvard_bibliographic_metadata
Download Link /show-records/harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:185825503:2336?format=raw

LEADER: 02336cam a2200301 a 4500
001 012168770-8
005 20140130021556.0
008 090605s2010 enka b 001 0 eng
015 $aGBA956473$2bnb
016 7 $a015286192$2Uk
020 $a9780521874151 (hbk.)
020 $a0521874157 (hbk.)
035 0 $aocn316824008
040 $aUKM$cUKM$dBTCTA$dYDXCP$dBWKUK
042 $aukblcatcopy
050 4 $aP308$b.K64 2010
082 04 $a418.020285$222
100 1 $aKoehn, Philipp.
245 10 $aStatistical machine translation /$cby Philipp Koehn.
260 $aCambridge :$bCambridge University Press,$cc2010.
300 $axii, 433 p. :$bill. ;$c26 cm.
504 $aIncludes bibliographical references (p. 371-415) and index.
520 1 $a"The field of machine translation has recently been energized by the emergence of statistical techniques, which have brought the dream of automatic language translation closer to reality. This class-tested textbook, authored by an active researcher in the field, provides a gentle and accessible introduction to the latest methods and enables the reader to build machine translation systems for any language pair." "It provides the necessary grounding in linguistics and probabilities, and 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 reports on the latest research and outstanding challenges, and enables novices as well as experienced researchers to make contributions to the field. It is ideal for students at undergraduate and graduate level, or for any reader interested in the latest developments in machine translation."--Jacket.
505 0 $aPreface -- Part I. Foundations -- 1. Introduction -- 2. Words, sentences, corpora -- 3. Probability theory -- Part II. Core Methods -- 4. Word-based models -- 5. Phrase-based models -- 6. Decoding -- 7. Language models -- 8. Evaluation -- Part III. Advanced Topics -- 9. Discriminative training -- 10. Integrating linguistic information -- 11. Tree-based models -- Bibliography -- Author index -- Index.
650 0 $aMachine translating.
650 0 $aTranslating and interpreting$xData processing.
988 $a20091231
906 $0OCLC