SEECAT: ASR & Eye-tracking enabled computer-assisted translation
SEECAT: ASR & Eye-tracking enabled computer-assisted translation
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西卡特：ASR
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
M. Carl
中科院分区：
文献类型：
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作者：
Mercedes Garcia Martinez;Karan Singla;Aniruddha Tammewar;B. Mesa;Ankita Thakur;M. Anusuya;B. Srinivas;M. Carl
传统上，小费是人工翻译人员使用计算机辅助翻译（CAT）工具时使用的唯一输入法。然而，语音是人类自然的交流渠道，原则上，它应该比用键盘打字更快、更容易。本文研究了自动语音识别（ASR）在CAT工作台上的集成，并通过
Tiping has traditionally been the only input method used by human translators working with computer-assisted translation (CAT) tools. However, speech is a natural communication channel for humans and, in principle, it should be faster and easier than typing from a keyboard. This contribution investigates the integration of automatic speech recognition (ASR) in a CAT workbench testing its real use by
human translators while post-editing machine translation (MT) outputs. This paper also explores the use of MT combined with ASR in order to improve recognition accuracy in a workbench integrating eye-tracking functionalities to collect process-oriented information about translators’ performance.
影响因子：
22.7
作者：
MILLER, GA
通讯作者：
MILLER, GA