Translation studies and artificial intelligence: problems, challenges, and risks

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Abstract

the paper examines the possibility of using artificial intelligence (AI) in translation theory and applied translation studies, and also presents proposals for integrating AI not only into translation practice, but also into translation curricula. The use of AI can improve the efficiency of translation and provide non-language readers with access to relevant information. The new opportunities that AI is opening up in the field of translation force modern linguists to take a fresh look at such important ethical issues as the role of humans in translation, the accuracy and cultural acceptability of translations, and the impact of AI on the work of a modern translator. It is shown that translation studies can play a decisive role in improving the accuracy of translation using AI, “culturally adapting” AI systems for different language pairs. By using translation studies expertise, linguists, AI developers, and researchers can improve the performance of AI-based translation systems, which will ultimately improve the quality of the translated text by taking into account valuable information about the cultural nuances, context, and meanings of the source text.

About the authors

S. N Vekovishcheva

Federal State University of Education

Email: vekovishcheva_sn@mail.ru

N. A Ivanova

Moscow State Institute of International Relations (University) of Russian Foreign Ministry

Email: ivanova_na@inno.mgimo.ru

I. A Ulitkin

Federal State University of Education

Email: ulitkin-ilya@yandex.ru

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