MONITORING MACHINE-TRANSLATION DEPENDENCE IN THE ONLINE TRAINING OF FUTURE PHILOLOGISTS

Authors

DOI:

https://doi.org/10.20535/2410-8286.309600

Keywords:

creative abilities , machine translation, legal translation , monitoring and assessment , online teaching, technological competence, translator training

Abstract

The objective of this article is to examine the most effective and expedient methods for identifying instances of hidden machine translation (MT) usage by student translators in their translation assignments and examinations. Additionally, the article aims to propose a system of incentives to reduce students' reliance on MT. This initiative was prompted by the recognition that the advancement of students' translation proficiency necessitates the balanced development of both their technological competence and their creative abilities. Method. A mixed-methods study was conducted with 34 undergraduate philology students at the V.N. Karazin Kharkiv National University. The study was part of a course on legal translation. Throughout the semester, the students' translation assignments and examinations were evaluated using a computer program designed to identify indications of MT. The extent of MT was considered in the assessment of the aforementioned translations, using a scale developed specifically for this purpose. Findings. The results substantiate the assertion that the proposed methodology serves to curtail students' reliance on MT, while simultaneously fostering the growth of their creative abilities within the context of translation. By the conclusion of the semester, the proportion of matches between the majority of the students' target texts and their MT counterparts had decreased to levels typically observed in texts translated without the use of MT. Implications for Research and Practice. The proposed methodology has the potential to be employed in online translation courses with the objective of reducing students' reliance on MT. Further research could be conducted to investigate the applicability of this methodology in different educational settings. 

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Author Biographies

Leonid Chernovaty, V.N.Karazin Kharkiv National University

LEONID CHERNOVATY, Doctor of Sciences, Professor of Mykola Lukash Translation Studies Department at V. N. Karazin National University of Kharkiv (Ukraine), and Visiting Researcher at the Department of English and American Studies at Matej Bel University (Slovakia). Full member of Higher School Academy of Sciences of Ukraine.

Lectures in Methodology of Translator and Interpreter Teaching and Training, Translation Studies and Specialised Translation and Interpreting. The author of the books Methodology of Translator and Interpreter Teaching and Training (2013), Reference Dictionary of Ukrainian Names (English - Ukrainian, Ukrainian – English with pronunciation and etymology) (with Eugen Schochenmaier), Monee, Il. (USA): Mondonomo, 2023, 468 p. ISBN: ‎ 978-95-35045-50-2, LCCN: 2023-932009, 2023), as well as over 300 research publications and textbooks on teaching English and specialised translation and interpreting.

Co-editor of the Dictum Factum and the editor of the UTTU series at the Nova Knyha publishers involved in the development and publishing materials for teaching English and translator/interpreter training. President of the Ukrainian Translator Trainers’ Union (UTTU). Research Interests: Psycholinguistics of Translation and Interpreting, Methodology of Translator and Interpreter Teaching and Training, Translation Studies, Specialised Translation and Interpreting, Terminology and Translation, Translation Process.

Natalia Kovalchuk, V.N.Karazin Kharkiv National University

Associate Professor, Mykola Lukash Translation Studies Department, V.N.Karazin Kharkiv National University;

Researcher, Department of English and American Studies, Matej Bel University, Banska Bystrica, Slovakia

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Published

2025-08-30

How to Cite

Chernovaty, L. ., & Kovalchuk, N. . (2025). MONITORING MACHINE-TRANSLATION DEPENDENCE IN THE ONLINE TRAINING OF FUTURE PHILOLOGISTS. Advanced Education, 18(26), 15–27. https://doi.org/10.20535/2410-8286.309600

Issue

2025: Issue 26

Section

ARTICLES

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Copyright (c) 2025 Leonid Mykolayovych Chernovaty, Natalia Kovalchuk

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