LOST IN TRANSLATION OR ASSISTED BY AI: MACHINE TRANSLATION DEPENDENCY AND STUDENT TRANSLATION QUALITY
Published:
2026-05-07Downloads
Abstract
The increasing availability of artificial intelligence–based machine translation tools has significantly transformed the learning practices of English as a Foreign Language (EFL) students. While such technologies provide rapid and convenient translation assistance, concerns have emerged regarding students’ dependency on these tools and its potential impact on translation competence. This study investigates the relationship between machine translation dependency and the translation quality of fourth-semester students in the English Education Study Program at Universitas Persatuan Guru 1945 NTT. Employing a mixed-methods design, quantitative data were collected through a structured questionnaire measuring machine translation dependency and a translation performance test evaluated using standardized translation quality indicators. Qualitative insights were obtained through semi-structured interviews with selected participants to explore students’ perceptions of AI-assisted translation. Data were analyzed using Structural Equation Modelling (SEM) and thematic analysis. The findings reveal that moderate use of machine translation tools contributes positively to translation efficiency; however, excessive dependency significantly reduces lexical accuracy, syntactic awareness, and contextual equivalence in students’ translations. The study highlights the necessity of pedagogical strategies that balance technological assistance with the development of independent translation competence. These findings contribute to the ongoing discourse on AI integration in language education and offer implications for translation pedagogy in EFL contexts.
Keywords:
artificial intelligence machine translation technology-assisted language learning translation competence translation quality.References
Abraheem, A. K. (2025). The role of machine translation in language learning and teaching. Al-Kindi Publishers. https://doi.org/10.32996/ijls.2025.5.3.1
Alhaisoni, E., & Alhaysony, M. (2021). An investigation of Saudi EFL university students’ attitudes towards the use of machine translation. Education and Information Technologies. https://doi.org/10.1007/s10639-021-10445-7
Briggs, J. (2022). Neural machine translation tools in language learning environments. System. https://doi.org/10.1016/j.system.2022.102578
Bowker, L., & Buitrago Ciro, J. (2021). Machine translation and global research communication. https://doi.org/10.4324/9781003096969
Bowker, L., & Buitrago Ciro, J. (2021). Machine translation literacy. Perspectives. https://doi.org/10.1080/0907676X.2021.1891760
Chen, W. (2024). AI-supported second language learning. https://doi.org/10.1007/s10639-024-12176-2
Clifford, J., Merschel, L., & Reisinger, D. (2020). What students think about machine translation. https://doi.org/10.1080/09588221.2020.1750439
Cowie, N., & Sakui, K. (2023). Should machine translation have a role in language classrooms? Pacific Journal of Technology Enhanced Learning. https://doi.org/10.24135/pjtel.v5i1.162 (AUT OJS)
Deng, X., & Yu, Z. (2022). Machine-translation-assisted language learning for sustainable education. Sustainability. https://doi.org/10.3390/su14137598 (MDPI)
Duan, X. (2020). Bilingual dictionary-based neural machine translation. https://doi.org/10.48550/arXiv.2007.02671
Dunđer, I. (2020). Machine translation system for industry domain. Journal of Information and Organizational Sciences. https://doi.org/10.31341/jios.44.1.2
Garcia, I., & Pena, M. (2023). Machine translation in language education: A critical review. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2023.2198456
Fuzianti, D. (2023). Translation machine: An introduction. Jurnal YMPN2. https://doi.org/10.58881/jlps.v1i1.2
Ghasemi, H., & Hashemian, M. (2021). Impact of translation tools on EFL writing accuracy. https://doi.org/10.1016/j.system.2021.102516
Groves, M., & Mundt, K. (2021). Friend or foe? Machine translation in language education. https://doi.org/10.1080/09588221.2021.1880435
Gunarto, H. (2020). Apps-based machine translation on smart media devices. Jurnal Universitas Gadjah Mada. https://doi.org/10.22146/ijccs.43066
Hajar, S. (2023). Machine translation in language learning and professional translation. Jurnal Penerjemahan. https://doi.org/10.64571/ojp.v10i1.89
Hamid, H. A., Terng, H. F., Ling, L. Y., & Kaur, N. (2023). Instructors’ perception of machine translation in L2 learning. European Proceedings. https://doi.org/10.15405/epes.23097.6
Huang, H. (2023). Machine translation literacy for language learners. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2023.2187459
Huang, S. (2024). Artificial intelligence and translation pedagogy. https://doi.org/10.1016/j.system.2024.103210
Huang, S.-C. (2023). Machine translation literacy for language learners. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2023.2187459
Jolley, J., & Maimone, L. (2022). Free online machine translation: Use and perceptions by language learners. Foreign Language Annals. https://doi.org/10.1111/flan.12578
Khamzakulova, S. (2025). Technology-based methods in language learning. Academia Open. https://doi.org/10.21070/acopen.11.2026.13111
Kusumayati, L., et al. (2024). AI-driven language learning. Trunojoyo Journal. https://doi.org/10.21107/pamator.v18i4a.32853
Lee, S. M. (2020). The impact of machine translation on EFL learners’ writing performance. ReCALL. https://doi.org/10.1017/S0958344020000046
Li, K. (2023). Artificial intelligence in second language education. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11642-1
Li, Z. (2020). Reference language based neural machine translation. https://doi.org/10.48550/arXiv.2004.02127
Loock, R. (2020). Machine translation literacy in language teaching. Language Learning & Technology. https://doi.org/10.1016/j.system.2020.102431
Memushaj, N., & Klosi, I. (2023). Benefits of machine translation in language learning. https://doi.org/10.35120/kij7083
Michael, L. (2023). Machine translation and vocabulary acquisition in ESL learning. ejournal.kyadiren. https://doi.org/10.58989/plj.v2i2.27
Niño, A. (2020). Exploring the use of online machine translation in language learning. System. https://doi.org/10.1016/j.system.2020.102429
O’Brien, S. (2021). Machine translation and translation pedagogy. Interpreter and Translator Trainer. https://doi.org/10.1080/1750399X.2021.1907764
O’Neill, E. (2021). Online translator use in language learning. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2021.1878582
Pang, H. (2024). AI-mediated language learning environments. https://doi.org/10.1080/09588221.2024.2294561
Pym, A. (2021). Translation skill sets in the age of machine translation. Meta. https://doi.org/10.7202/1075831ar
Rahman, M. A. (2024). AI integration in EFL education. https://doi.org/10.24042/pedagogy.v12i2.9549
Ranalli, J. (2021). Technology-mediated language learning and translation tools. https://doi.org/10.1017/S0958344021000067
Reinders, H. (2022). AI tools in language learning. CALL Research Conference Proceedings. https://doi.org/10.14705/rpnet.2022.55.1352
Sabtan, Y. (2020). Teaching machine translation to EFL students. https://doi.org/10.5539/ijel.v10n2p184
Sardi, A., Dollah, S., & Abdullah. (2024). AI-based English teaching. Rumah Jurnal IAIN Palopo. https://doi.org/10.24256/itj.v7i2.7951
Stapleton, P., & Kin, B. (2022). AI tools and academic writing support. Journal of Second Language Writing. https://doi.org/10.1016/j.jslw.2022.100734
Tekwa, K. (2024). Machine translation and foreign language learning. Springer. https://doi.org/10.1007/978-981-99-8602-6
Tan, Z., Wang, S., Yang, Z., Chen, G., Huang, X., Sun, M., & Liu, Y. (2020). Neural machine translation review. https://doi.org/10.48550/arXiv.2012.15515
Tsai, S. C. (2021). Using Google Translate in EFL learning contexts. Computer Assisted Language Learning. https://doi.org/10.1080/09588221.2021.1883045
Vieira, L. (2020). Machine translation in foreign language learning. Translation & Interpreting. https://doi.org/10.12807/ti.112202.2020.a05
Wallace, M. P. (2023). Human-AI interaction in language learning. https://doi.org/10.1016/j.compedu.2023.104703
Wang, F. (2024). Digital tools and language learning outcomes. Computers & Education. https://doi.org/10.1016/j.compedu.2024.104831
Wang, X., Pang, H., Wallace, M. P., Wang, Q., & Chen, W. (2023). What matters in AI-supported learning. Computers & Education. https://doi.org/10.1016/j.compedu.2023.104703
Wang, Y. (2023). AI translation and language learning outcomes. Computers & Education. https://doi.org/10.1016/j.compedu.2023.104662
Woo, J. H., & Choi, H. (2021). Systematic review for AI-based language learning tools. https://doi.org/10.48550/arXiv.2111.04455
Yang, S. (2020). Deep learning techniques for neural machine translation. https://doi.org/10.48550/arXiv.2002.07526
Yang, W. (2024). Computer-assisted English language teaching: Future developments. Applied Mathematics and Nonlinear Sciences. https://doi.org/10.2478/amns-2024-2644 (Paradigm)
Yang, Y., & Wang, H. (2023). Artificial intelligence in language education. Education Sciences. https://doi.org/10.3390/educsci13020156
Zhang, L. (2024). AI-assisted translation learning. System. https://doi.org/10.1016/j.system.2024.103120
Zhang, Y. (2021). Neural machine translation and EFL writing. System. https://doi.org/10.1016/j.system.2021.102566
Zhao, J. (2023). Neural machine translation and learning strategies. https://doi.org/10.1016/j.system.2023.102742
Zhao, T., & Alias, M. (2024). Automated programming approaches to enhance translation accuracy. PeerJ Computer Science. https://doi.org/10.7717/peerj-cs.2396
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