Abstract
The integration of Artificial Intelligence (AI) in language learning revolutionized the creation of educational tasks, particularly in vocabulary building at classes of translation. AI-powered tools help create a wide variety of personalized exercises that adapt to learners’ proficiency levels, enhancing engagement and retention.This paper explores how AI facilitates vocabulary acquisition through various AI-generated tasks designed to expand students’ foreign language vocabulary while emphasizing the stylistic characteristics of a set of synonyms. Additionally, AI-driven translation technologies, such as neural machine translation and natural language processing (NLP), provide accurate and context-aware translations. By automating and optimizing task creation, AI supports educators in designing effective language-learning activities. This study examines the benefits, challenges, and future implications of AI-generated tasks for vocabulary development and translation in educational settings.
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KEYWORDS
Vocabulary Acquisition, AI, Translation, University Education
