THE IMPACT OF MACHINE TRANSLATION ON ENHANCING STUDENTS’ TRANSLATION SKILLS IN WRITING
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https://doi.org/10.32503/proficiency.v8i1.7899
Abstrak
This study explores how machine translation (MT) tools, particularly Google Translate, can be utilized to improve translation skills in writing among English Literature students. The participants of this research were ten English literature students. Employing a qualitative research with case study as the research design. The data were collected using in-depth interviews followed by observation and translation tasks. As digital tools become increasingly integrated into language learning, it is important to understand both the pedagogical benefits and limitations of MT in academic settings. This case study investigates how students use MT in translating literary and academic texts, how they evaluate the accuracy of MT outputs, and how they engage in post-editing to enhance their linguistic awareness and critical thinking. The findings are expected to provide practical insights for incorporating MT tools into translation teaching strategies while fostering students' autonomy and accuracy in translation.
Referensi
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Agustyas, R. D., Kurniawan, E. H., & Sulistyanto, I. (2024). User Experience Of LMS UNISKA As An E-Learning Platform With The Tam Method. Jurnal Pendidikan Bahasa Inggris Proficiency, 6(2), 237-253.
Aslan, E. (2023). Machine Translation: Perception of Translation and Interpreting Students in Turkey. Current Trends in Translation Teaching and Learning E, 10, 185–216. DOI: https://doi.org/10.51287/cttl20237
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI: https://doi.org/10.1191/1478088706qp063oa
Ismawardani, B. M., & Sulistyanto, I. (2019). The Effectiveness of Teaching Writing by Using Padlet as the Media. Jurnal Pendidikan Bahasa Inggris Proficiency, 1(2), 66-71.
Jun, L. (2023). Optimization of Translation Techniques Between English and Chinese Literary Works in the Information Age. Applied Mathematics and Nonlinear Sciences, 9(1). DOI: https://doi.org/10.2478/amns.2023.2.01701
Kasperẹ, R., Horbačauskienė, J., Motiejūnienė, J., Liubinienė, V., Patašienė, I., & Patašius, M. (2021). Towards Sustainable Use of Machine Translation: Usability and Perceived Quality From the End-User Perspective. Sustainability, 13(23), 13430. DOI: https://doi.org/10.3390/su132313430
Kenny, D., & Winters, M. (2020). Machine Translation, Ethics and the Literary Translator’s Voice. Translation Spaces, 9(1), 123–149. DOI: https://doi.org/10.1075/ts.00024.ken
Li, Q. (2024). Bridging Languages: The Potential and Limitations of AI in Literary TranslationA Case Study of the English Translation of a Pair of Peacocks Southeast Fly. Ahr, 8(1), 1–7. DOI: https://doi.org/10.54254/2753-7080/8/2024091
Macías, L. P., Ramos, M. del M. S., & Pérez, C. R. (2020). Study on the Usefulness of Machine Translation in the Migratory Context: Analysis of Translators’ Perceptions. Open Linguistics, 6(1), 68–76. DOI: https://doi.org/10.1515/opli-2020-0004
Mar’athus Sholikhah, N. F., & Indah, R. N. (2021). Common Lexical Errors Made by Machine Translation On Cultural Text. Edulingua: Jurnal Linguistiks Terapan Dan Pendidikan Bahasa Inggris, 8(1), 39–50. DOI: https://doi.org/10.34001/edulingua.v8i1.1524
Omar, A., & Gomaa, Y. A. (2020). The Machine Translation of Literature: Implications for Translation Pedagogy. International Journal of Emerging Technologies in Learning (Ijet), 15(11), 228. DOI: https://doi.org/10.3991/ijet.v15i11.13275
Pusparini, D., Suparno, S., & Sarosa, T. (2020). Teacher’ knowledge about higher-order thinking skills and its implementation in teaching reading. Jurnal Edulingua, 7(2), 75–84. URL: https://ejournal.unisnu.ac.id/JE/article/view/1255
Şahin, M., & Gürses, S. (2021). English-Turkish Literary Translation Through Human-Machine Interaction. Tradumàtica Tecnologies De La Traducció, 19, 171–203. DOI: https://doi.org/10.5565/rev/tradumatica.284
Silviana, D., Musafik, M. N., & Sulistyanto, I. (2023). The effect of internet media usage toward learning interest through learning motivation as a moderator variable. Jurnal Pendidikan Bahasa Inggris Proficiency, 5(1), 37-47.
Toral, A., Cranenburgh, A. v., & Nutters, T. (2023). Literary-Adapted Machine Translation in a Well-Resourced Language Pair. 27–52. DOI: https://doi.org/10.4324/9781003357391-3
Agustyas, R. D., Kurniawan, E. H., & Sulistyanto, I. (2024). User Experience Of LMS UNISKA As An E-Learning Platform With The Tam Method. Jurnal Pendidikan Bahasa Inggris Proficiency, 6(2), 237-253.
Aslan, E. (2023). Machine Translation: Perception of Translation and Interpreting Students in Turkey. Current Trends in Translation Teaching and Learning E, 10, 185–216. DOI: https://doi.org/10.51287/cttl20237
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI: https://doi.org/10.1191/1478088706qp063oa
Ismawardani, B. M., & Sulistyanto, I. (2019). The Effectiveness of Teaching Writing by Using Padlet as the Media. Jurnal Pendidikan Bahasa Inggris Proficiency, 1(2), 66-71.
Jun, L. (2023). Optimization of Translation Techniques Between English and Chinese Literary Works in the Information Age. Applied Mathematics and Nonlinear Sciences, 9(1). DOI: https://doi.org/10.2478/amns.2023.2.01701
Kasperẹ, R., Horbačauskienė, J., Motiejūnienė, J., Liubinienė, V., Patašienė, I., & Patašius, M. (2021). Towards Sustainable Use of Machine Translation: Usability and Perceived Quality From the End-User Perspective. Sustainability, 13(23), 13430. DOI: https://doi.org/10.3390/su132313430
Kenny, D., & Winters, M. (2020). Machine Translation, Ethics and the Literary Translator’s Voice. Translation Spaces, 9(1), 123–149. DOI: https://doi.org/10.1075/ts.00024.ken
Li, Q. (2024). Bridging Languages: The Potential and Limitations of AI in Literary TranslationA Case Study of the English Translation of a Pair of Peacocks Southeast Fly. Ahr, 8(1), 1–7. DOI: https://doi.org/10.54254/2753-7080/8/2024091
Macías, L. P., Ramos, M. del M. S., & Pérez, C. R. (2020). Study on the Usefulness of Machine Translation in the Migratory Context: Analysis of Translators’ Perceptions. Open Linguistics, 6(1), 68–76. DOI: https://doi.org/10.1515/opli-2020-0004
Mar’athus Sholikhah, N. F., & Indah, R. N. (2021). Common Lexical Errors Made by Machine Translation On Cultural Text. Edulingua: Jurnal Linguistiks Terapan Dan Pendidikan Bahasa Inggris, 8(1), 39–50. DOI: https://doi.org/10.34001/edulingua.v8i1.1524
Omar, A., & Gomaa, Y. A. (2020). The Machine Translation of Literature: Implications for Translation Pedagogy. International Journal of Emerging Technologies in Learning (Ijet), 15(11), 228. DOI: https://doi.org/10.3991/ijet.v15i11.13275
Pusparini, D., Suparno, S., & Sarosa, T. (2020). Teacher’ knowledge about higher-order thinking skills and its implementation in teaching reading. Jurnal Edulingua, 7(2), 75–84. URL: https://ejournal.unisnu.ac.id/JE/article/view/1255
Şahin, M., & Gürses, S. (2021). English-Turkish Literary Translation Through Human-Machine Interaction. Tradumàtica Tecnologies De La Traducció, 19, 171–203. DOI: https://doi.org/10.5565/rev/tradumatica.284
Silviana, D., Musafik, M. N., & Sulistyanto, I. (2023). The effect of internet media usage toward learning interest through learning motivation as a moderator variable. Jurnal Pendidikan Bahasa Inggris Proficiency, 5(1), 37-47.
Toral, A., Cranenburgh, A. v., & Nutters, T. (2023). Literary-Adapted Machine Translation in a Well-Resourced Language Pair. 27–52. DOI: https://doi.org/10.4324/9781003357391-3
Diterbitkan
2026-01-07
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PUTRI, Citra Anggia; SIBARANI, Berlin.
THE IMPACT OF MACHINE TRANSLATION ON ENHANCING STUDENTS’ TRANSLATION SKILLS IN WRITING.
Jurnal Pendidikan Bahasa Inggris Proficiency, [S.l.], v. 8, n. 1, p. 40-47, jan. 2026.
ISSN 2775-0450.
Tersedia pada: <https://ejournal.uniska-kediri.ac.id/index.php/PROFICIENCY/article/view/7899>. Tanggal Akses: 23 jan. 2026
doi: https://doi.org/10.32503/proficiency.v8i1.7899.
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