Translation in Transition: Human and machine intelligence

前表紙
Isabel Lacruz
John Benjamins Publishing Company, 2023/07/26 - 287 ページ
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.
 

ページのサンプル

目次

Chapter 1 Translation in transition
1
Chapter 2 The strange attractions of translation
15
Chapter 3 Postediting and a sustainable future for translators
39
Chapter 4 An eyetracking study of productivity and effort in ChinesetoEnglish translation and postediting
57
Chapter 5 Recent claims of humanmachine parity in translation highlight core issues surrounding the human evaluation of machine translation
83
Chapter 6 In the eye of the beholder
104
Chapter 7 Subtitling in transition
130
Chapter 8 Economy and efficiency of notetaking in consecutive interpreting from English to Chinese
157
Chapter 9 The translation ambiguity disadvantage in language processing
183
Chapter 10 Impact of word alignment on word translation entropy and other metrics
203
Chapter 11 Early processes in reading for translation
236
Chapter 12 The Monitor Model and its misconceptions
257
Bio notes
283
Index
287
著作権

多く使われている語句

書誌情報