@article{ART003123278},
author={Song Yonsuk},
title={Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers},
journal={The Journal of Translation Studies},
issn={1229-795X},
year={2024},
volume={25},
number={3},
pages={31-55},
doi={10.15749/jts.2024.25.3.002}
TY - JOUR
AU - Song Yonsuk
TI - Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers
JO - The Journal of Translation Studies
PY - 2024
VL - 25
IS - 3
PB - The Korean Association for Translation Studies
SP - 31
EP - 55
SN - 1229-795X
AB - The emergence of generative AI has introduced new challenges in translator training. Through in-depth interviews of eight translator trainers, this study aims to explore the changes experienced by graduate-level translator trainers in the AI era, how they are adapting to these developments, and their perspectives on translation competence, trainees’ use of AI for their translation and the future direction of translator training. The study first examines major translation competence models along with their relevance to graduate-level translator training and reviews recent trends in research on neural machine translation-based post-editing. It then discusses the latest trends in machine translation research, questioning the traditional dichotomy between human and machine translation. Additionally, the study introduces the concepts of augmented translation and machine translation literacy, exploring their possible educational applications. The study finds that the trainers were opposed to trainees’ use of AI in translation on the grounds that it will hinder the development of translation competence. They were also found to be skeptical about the relevance of translation competence models, as well as machine translation post-editing, to graduate-level translator training. The findings suggest that it is the trainers themselves, rather than the trainees, who need education on machine translation literacy. The paper concludes by discussing the implications of the interview findings for graduate-level translator training and translation studies.
KW - Translator training;translation competence;AI translation;post-editing;machine translation literacy
DO - 10.15749/jts.2024.25.3.002
ER -
Song Yonsuk. (2024). Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers. The Journal of Translation Studies, 25(3), 31-55.
Song Yonsuk. 2024, "Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers", The Journal of Translation Studies, vol.25, no.3 pp.31-55. Available from: doi:10.15749/jts.2024.25.3.002
Song Yonsuk "Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers" The Journal of Translation Studies 25.3 pp.31-55 (2024) : 31.
Song Yonsuk. Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers. 2024; 25(3), 31-55. Available from: doi:10.15749/jts.2024.25.3.002
Song Yonsuk. "Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers" The Journal of Translation Studies 25, no.3 (2024) : 31-55.doi: 10.15749/jts.2024.25.3.002
Song Yonsuk. Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers. The Journal of Translation Studies, 25(3), 31-55. doi: 10.15749/jts.2024.25.3.002
Song Yonsuk. Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers. The Journal of Translation Studies. 2024; 25(3) 31-55. doi: 10.15749/jts.2024.25.3.002
Song Yonsuk. Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers. 2024; 25(3), 31-55. Available from: doi:10.15749/jts.2024.25.3.002
Song Yonsuk. "Translator training in the AI era: In-depth interviews with Korean-English graduate-level translator trainers" The Journal of Translation Studies 25, no.3 (2024) : 31-55.doi: 10.15749/jts.2024.25.3.002
