NON-ENGLISH DEPARTMENT STUDENTS' PERCEPTIONS OF THE USE OF MACHINE TRANSLATION IN LEARNING ENGLISH

Widia Clarisa (2024) NON-ENGLISH DEPARTMENT STUDENTS' PERCEPTIONS OF THE USE OF MACHINE TRANSLATION IN LEARNING ENGLISH. Final Year Projects (S1) thesis, Universitas Kristen Duta Wacana.

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Abstract

This research aims to investigate the extent to which non-English department students perceive the used of Machine Translation for learning English. Therefore, the researcher's aim in conducting this research was to explore more deeply the perceptions of non-English department students regarding the use of Machine Translation as a supporting medium for learning English. This research used mixed methods, such as distributing online surveys (questionnaires) via social media and interviews. In an online survey, this research involved 80 non-English department students throughout Indonesia who used MT. Findings from the online survey showed that students showed positive attitudes towards the use of machine translation for English language learning. Apart from that, this research used follow-up interviews to gather more in-depth information, interviews involved 6 students who were willing to be interviewed. Participants were selected through a survey involved 5 female and 1 male, the interviews were conducted online and offline. From the results of interview data analysis, the researcher found that learners rely on MT to translate texts, learn new vocabulary, found the meaning of words and phrases, and learn how to spell/pronounce unfamiliar words; Machine Translation is effective to improving understanding and practicing students' English skills; the MT easy to use, instant, and flexible so students can use it anytime and anywhere. The research results suggest that educators and students used MT wisely to achieve English learning targets. Apart from that, this research also suggests that further research can dig deeper into information regarding the shortcomings of using MT from this research so that educators and students can anticipate it. Keywords: Machine translation, the use of machine translation, student perceptions.

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