On the issue of forming future translators’ competencies in the era of artificial intelligence

Abstract

The rapid development of artificial intelligence has created great opportunities and challenges for translation activities and set new tasks for the training of future translators. The elements covered by traditional translation competences need to be supplemented and improved in the era of artificial intelligence. Based on the Sino­Russian translation demand and translation practice, the article analyzes the changes that technology has brought to Sino­Russian interpretation. It is noted that the discipline “Translation from Chinese into Russian” in Chinese universities is mainly intended, first of all, for the era of human translation and is not adapted to the era of artificial intelligence. By combining various requirements imposed on translators in the field of artificial intelligence, we have developed a course aimed at developing important translation competences of future translators as native Chinese speakers, including the competence of post­editing from the native language into Russian. The article comprehensively describes and analyzes the model of the formation of this competence in the era of artificial intelligence.

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