Enhancing Translation Competence through AI: Teaching Equivalence in Uzbek–English Contexts

This study explores the use of artificial intelligence (AI) in teaching equivalence in translation, with a focus on Uzbek – English language pairs. Equivalence, as a central concept in translation studies, involves not only lexical correspondence but also semantic, stylistic, pragmatic, and cultural alignment between source and target texts. The paper discusses how AI-powered tools, such as neural machine translation systems, can support the development of students’ translation competence by enabling comparative analysis, error detection, and iterative refinement of translations.

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