首页|Researchers from University of Lille Detail Findings in Machine Translation (Dealing with the 'elephant in the classroom': De- veloping language students' machine translation literacy)
Researchers from University of Lille Detail Findings in Machine Translation (Dealing with the 'elephant in the classroom': De- veloping language students' machine translation literacy)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on machine translation are discussed in a new report. According to news originating from the University of Lille by NewsRx editors, the research stated, “In this article, we discuss the need for a new digital literacy among language students, namely a literacy in relation to the use of machine translation (MT): MT literacy, following Bowker and Buitrago Ciro (2019).” The news journalists obtained a quote from the research from University of Lille: “This article does not focus on translation students who, due to the demands of the translation market, have already received a lot of attention from researchers. Rather, we focus on undergraduate language students, and argue that because of their massive use of free online translators-either to translate or to read and write in the language they are learning-instructors need to include a discus-sion on such tools. We argue that this discussion should include technical and ethical considerations, with a focus on how to ensure that students are able to use MT critically, identifying and correcting errors, for future professional use. Finally, we discuss the thorny issue of evaluation for this type of digital literacy. The discussion is based on several experiments conducted with undergraduate students enrolled in their final year of a three-year program in applied languages.”
University of LilleEmerging TechnologiesMachine LearningMachine Translation