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MACHINE TRANSLATION IN NON-NATIVE LANGUAGE TEACHING AND LEARNING: TEACHERS’ PERCEPTIONS, ATTITUDES, AND OPINIONS

ABSTRACT

The use of Machine Translation (MT) by non-native language learners is a reality highlighted by studies (NOUATIN, 2018; ALHAISONI and ALHASYSONY, 2017; CLIFFORD et al., 2013). Such practice provokes reactions on the part of teachers, mainly due to their concern with the language learning process of students who use MT and with the possibility of cheating, on the part of students, who may hand in to their teachers, machine translations as their own productions (NOUATIN, 2018; CLIFFORD et al., 2013; SOMERS et al., 2006). Hence, researches (HENSHAW, 2020; DUCAR e SCHOCKET, 2018) are being carried out, to find out the best way to cope with the practice of using MT in non-native language teaching and learning. The study that grounded this article has been conducted to contribute to that discussion bringing to the table the perceptions, attitudes, and opinions of teachers from a Brazilian language teaching and learning context. The data, generated applying an online questionnaire (Google forms) to 12 language teachers, have been tabulated, categorized and interpreted. The results show that the language instructors questioned have perceptions similar to those of the participants of researches conducted in other contexts that discussed that aspect of the question. We also found out that those teachers have flexible attitudes and favourable opinions towards the use of MT by non-native language learners and even towards the integration of MT to language teaching and learning since there are adequate conditions.

Keywords:
machine translation; language learning; language teaching

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