기계번역 담론에 대한 비판적 고찰
A Critical Look at Discourses on Machine Translation
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Machine translation (MT) has recently received much attention both in academia and industry, but the current discourse on MT and its impact on professional translators has been predominantly driven by the local media, which is often criticized for sensationalism and commercialism. This paper aims to critically examine the media-led discourses on MT by reviewing the latest studies on neural MT and comparing the views on translation held by researchers of translation studies (TS) and MT. The paper sets out to explore the differences between TS and MT in how they model a communication process and view the notion of ‘meaning’ and ‘context.’ It then examines the validity of BLEU, a popular MT evaluation metric. Finally, the paper discusses the problems of implementing the technology from a commercialization perspective and provides implications for translator training.
Abstract
Machine translation (MT) has recently received much attention both in academia and industry, but the current discourse on MT and its impact on professional translators has been predominantly driven by the local media, which is often criticized for sensationalism and commercialism. This paper aims to critically examine the media-led discourses on MT by reviewing the latest studies on neural MT and comparing the views on translation held by researchers of translation studies (TS) and MT. The paper sets out to explore the differences between TS and MT in how they model a communication process and view the notion of ‘meaning’ and ‘context.’ It then examines the validity of BLEU, a popular MT evaluation metric. Finally, the paper discusses the problems of implementing the technology from a commercialization perspective and provides implications for translator training.
참고문헌 (75)
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