New approaches to training translators for professional communication in the context of artificial intelligence development

Importance. In modern conditions, artificial intelligence technologies have a significant impact on the translation industry and act as a key factor transforming translation methods, their quality and the structure of professional translator training. Despite significant automation of processes, there is still a need for highly qualified specialists who are able to ensure high-quality translation and at the same time effectively use the latest artificial intelligence tools. The purpose of the study is to analyze modern educational practices for training translators, taking into account the introduction of artificial intelligence, aimed at developing competencies that ensure effective professional activity in the context of digital transformation. Research Methods. The research methodology is based on an interdisciplinary approach to training translators in the field of professional communication. The empirical basis of the research is the work programs of academic disciplines under the program of additional professional education “Translator in Professional Communication Field”, implemented at Tambov State Technical University, as well as the professional standard “Translation Specialist”. Results and Discussion. The integration of assignments focused on post-editing machine translation, as well as the introduction of an interdisciplinary approach, contributes to the development of students' critical thinking, technological literacy, and intercultural competence. The practical use of AI tools allows students to focus on creative adaptation and quality control of the translation product, compensating for the limitations of automatic translation systems. Conclusion. Currently, the training of translators in professional communication should be based on an integrated approach combining classical linguistic knowledge and AI technologies. This approach will ensure that specialists meet the demands of a dynamically changing labor market while maintaining the central role of humans in translation activities.