Vahid Reza Mirzaeian - Assistant Professor, Department of English, Faculty of Literature, Alzahra University, Tehran, Iran
Katayoun Oskoui - MA, Department of English, Faculty of Literature, Alzahra University, Tehran, Iran

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, the present study systematically reviewed ۱۰ databases, namely, Web of Science, Scopus, ERIC, ScienceDirect, Taylor & Francis Online, Wiley Online Library, SAGE Journals, Springer Link, Springer Open, and DOAJ. Additionally, it hand searched the reference lists of ۴۴ 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 ۲۰۱۰-۲۰۲۱. It reviewed ۵۰ 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.

Google Translate, Foreign language acquisition, systematic review, CALL, Machine Translation