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Translation in Transition : Human and machine intelligence.
・ISBN 978-90-272-1386-0 hard EUR 110.00
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-90-272-4976-0
| 著者・編者 | Lacruz, Isabel (ed.), |
|---|---|
| シリーズ | American Translators Association Scholarly Monograph Series |
| 出版社 | (J. Benjamins, NE) |
| 出版年月 | 2023.07 |
| ページ数 | 287 pp. |
| 言語 | ENG |
| ニュース番号 | ＜710-1476＞ |
解説
Extraordinary advances in machine translation over the last three quarters of a century have profoundly affected many aspects of the translation profession. The widespread integration of adaptive "artificially intelligent" technologies has radically changed the way many translators think and work. In turn, groundbreaking empirical research has yielded new perspectives on the cognitive basis of the human translation process. Translation is in the throes of radical transition on both professional and academic levels.
The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence. The gathering and analysis of big data is a common thread that has given access to new insights in widely divergent areas, from literary translation to movie subtitling to consecutive interpreting to development of flexible and powerful new cognitive models of translation.
The game-changing introduction of neural machine translation engines almost a decade ago accelerated these transitions. This volume takes stock of the depth and breadth of resulting developments, highlighting the emerging rivalry of human and machine intelligence. The gathering and analysis of big data is a common thread that has given access to new insights in widely divergent areas, from literary translation to movie subtitling to consecutive interpreting to development of flexible and powerful new cognitive models of translation.