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Google Translate in Foreign Language Learning: A Systematic Review | ||
| Applied Research on English Language | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 20 دی 1401 | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22108/are.2023.134264.1949 | ||
| نویسندگان | ||
| Katayoun Oskoui؛ Vahid Reza Mirzaeian* | ||
| Department of English, Faculty of Literature, Alzahra University, Tehran, Iran | ||
| چکیده | ||
| Thanks to the significant achievements in Artificial Intelligence (AI), Machine Translation (MT) in general and Google Translate (GT) in particular have been extensively used in all facets of life, including language learning. However, faced with a plethora of research evidence on GT’s educational contributions, erroneous translations create disparity regarding its use in language learning. To address this lacuna, this research systematically reviewed 10 databases, namely, Web of Science, Scopus, ERIC, Science Direct, Taylor & Francis Online, Wiley Online Library, SAGE Journals, Springer Link, Springer Open, and DOAJ. Additionally, it hand searched the reference lists of 44 studies selected to be included in the synthesis from database search along with references cited in three previous systematic reviews on similar topics to capture a comprehensive view of the literature related to the use of GT in language learning between 2010-2021. It reviewed 50 studies witnessing a rise in the number of studies in this area. Studies reported that although significant improvements in the quality of GT led to pedagogical gains and more tendency to implement it in language learning, instructors still distrust it. Accordingly, this research provides pedagogical implications and suggests avenues for future research on the use of GT in language learning. | ||
| کلیدواژه‌ها | ||
| Google Translate؛ Foreign language acquisition؛ Systematic review؛ CALL؛ Machine Translation | ||
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آمار تعداد مشاهده مقاله: 72 |
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