MODERN TRENDS IN THE EFFECTIVE USE OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE TEACHING AND TRANSLATION
Abstract
The rapid advancement of artificial intelligence (AI) technologies has profoundly transformed the landscape of foreign language education and professional translation. This article examines current trends in the integration of AI tools — including large language models (LLMs), neural machine translation (NMT) systems, intelligent tutoring platforms, and automatic speech recognition (ASR) — into language learning environments and translation workflows. Drawing on recent empirical studies and technological developments, the paper argues that while AI significantly enhances personalization, efficiency, and accessibility in language education, its role in translation and interpreting practice remains supplementary rather than autonomous. The findings highlight the transformative potential of AI, the pedagogical challenges associated with its adoption, and the necessity of cultivating hybrid human-AI competencies among modern language professionals.
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