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pro vyhledávání: '"Katayoun Oskoui"'
Autor:
Vahid Reza Mirzaeian, Katayoun Oskoui
Publikováno v:
Applied Research on English Language, Vol 12, Iss 2, Pp 51-84 (2023)
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
Externí odkaz:
https://doaj.org/article/28f8a3013d4d4421b8191fe319c8fb5b
Autor:
Vahid Reza Mirzaeian, Katayoun Oskoui
Publikováno v:
Issues in Language Teaching, Vol 11, Iss 2, Pp 129-159 (2022)
The world of foreign language education has been immensely influenced by the glory of emergent machine translation (MT) technologies including Google Translate (GT) (Knowles, 2022). Considering that end users' perceptions reflect GT practicality, amp
Externí odkaz:
https://doaj.org/article/34bb04ceb84d4d07b4ddc3717631f793
Autor:
Vahid Mirzaeian, Katayoun Oskoui
Publikováno v:
Journal of English Language Teaching and Learning, Vol 14, Iss 30, Pp 165-179 (2022)
This quantitative study aimed to investigate Iranian EFL student teachers’ perceptions on the use of Machine Translation (MT) for foreign language learning in academic context. To this end, 107 EFL student teachers from a women-only state universit
Externí odkaz:
https://doaj.org/article/215775b0cf1e483ba34d62f6cc435528