Thirty Years of Machine Translation in Language Teaching and Learning: A Review of the Literature

L2 Journal Pub Date : 2022-01-21 DOI:10.5070/l214151760
J. R. Jolley, Luciane Maimone
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引用次数: 16

Abstract

Although use of machine translation (MT) technologies by learners may seem like a relatively new issue in foreign language (FL) education, researchers have been investigating connections between MT tools and FL teaching and learning for more than three decades, years before learners had access to free online services such as Google Translate. This literature review summarizes this rapidly expanding research domain both chronologically and thematically, identifying key concepts, insights, and findings and mapping them onto a framework inspired by questions commonly asked by both researchers and practitioners: How do learners use MT tools? What do instructors and learners think about MT? How might MT use affect language learning? How should instructors respond to MT use by learners? By summarizing and drawing connections between the assumptions, methods, and findings of key studies in these categories, this review provides a historical perspective and suggests new directions for future research.
机器翻译在语言教学中的三十年:文献综述
尽管在外语教育中,学习者使用机器翻译(MT)技术似乎是一个相对较新的问题,但研究人员已经研究了机器翻译工具与外语教学之间的联系超过30年,比学习者获得谷歌翻译等免费在线服务早了很多年。本文献综述按时间顺序和主题顺序总结了这一迅速发展的研究领域,确定了关键概念、见解和发现,并将其映射到一个框架中,该框架受到研究人员和从业者普遍提出的问题的启发:学习者如何使用机器翻译工具?教师和学习者如何看待MT?机器翻译如何影响语言学习?教师应该如何回应学习者使用MT ?本文通过对这几类主要研究的假设、方法和结果的总结和联系,提供了一个历史的视角,并为未来的研究提出了新的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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