Prospects for training translators in the context of the rapid development of generative models of artificial intelligence
Keywords:
translator competencies, artificial intelligence technologies, digital translation, the concept of hybrid mastery, analytical communicative competence, information competenceAbstract
The article examines the challenges and prospects of translator training amid the rapid development of generative AI models. It analyzes changes in translators' professional competencies and proposes an updated training model that integrates AI as a pre- and post-editing tool. Based on an empirical study (a survey of 150 students), it is shown that traditional teaching methods are losing their effectiveness, while a hybrid approach improves the competitiveness of graduates.
References
Комиссаров, В. Н. Современное переводоведение : учебное пособие / В. Н. Комиссаров. – М.: ЭТС. – 2002. – 424 с.
Кузьмина, Л. Г. Компетенция переводчика: содержание и структура. – [сайт]. – C. 65–69. – URL: https://www.vsu.ru/ru/universities/faculties/philology/vestnik/articles/philology/2022/02-04-kuzmina.pdf (дата обращения: 23.03.2026).
References
Komissarov V. N. Sovremennoe perevodovedenie [Modern Translation Studies]. Moscow. ETS. 2002, 424 p. (In Russian)
Kuzmina L. G. Kompetencziya perevodchik»: soderzhanie i struktura [Translator's Competence: Content and Structure], pp. 65-69. (In Russian). Available at: https://www.vsu.ru/ru/universities/faculties/philology/vestnik/articles/philology/2022/02-04-kuzmina.pdf (accessed: 23.03.2026).
