000 | 02200nam a22002537a 4500 | ||
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003 | IIITD | ||
005 | 20240216133422.0 | ||
008 | 240215b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781108497329 | ||
040 | _aIIITD | ||
082 | 0 | 0 |
_a418.020 _bKOE-N |
100 | 1 | _aKoehn, Philipp | |
245 | 1 | 0 |
_aNeural machine translation _cby Philipp Koehn |
260 |
_aCambridge : _bCambridge University Press, _c©2020 |
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300 |
_axiv, 393 p. : _bill. ; _c26 cm. |
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504 | _aIncludes bibliographical references and index. | ||
505 |
_t1. The Translation Problem _t2. Uses of Machine Translation _t3. History _t4. Evaluation _t5. Neural Networks _t6. Computation Graphs _t7. Neural Language Models _t8. Neural Translation Models _t9. Decoding _t10. Machine Learning Tricks _t 11. Alternate Architectures _t12. Revisiting Words _t13. Adaptation _t14. Beyond Parallel Corpora _t15. Linguistic Structure _t16. Current Challenges _t17. Analysis and Visualization |
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520 | _a"A decade after the publication of my textbook Statistical Machine Translation, translation technology has changed drastically. As in other areas of artificial intelligence, deep neural networks have become the dominant paradigm, bringing with them impressive improvements of translation quality but also new challenges. What you are holding in your hands started out four years ago as a chapter of an envisioned second edition of that textbook, but the new way of doing things expanded so dramatically, and so little of previous methods is still relevant, that the text has grown into a book of its own right. Besides the chapter on evaluation, there is very little overlap between these two books. For the novice reader interested in machine translation, this is good news. We all started anew a few years ago, so you are not far behind in learning about the state of the art in the field"-- | ||
650 | 0 | _aMachine translation. | |
650 | 0 | _aNeural networks (Computer science) | |
650 | 0 | _a Subject: Translating and interpreting -- Data processing. | |
776 | 0 | 8 |
_iOnline version: _aKoehn, Philipp, 1971- _tNeural machine translation _bFirst ed. _dNew York : Cambridge University Press, 2020. _z9781108608480 |
942 |
_2ddc _cBK |
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999 |
_c172241 _d172241 |