INTEGRATION OF COMPUTATIONAL LINGUISTICS AND NLP IN TEACHING SYNONYMS

Saydaliyeva Gavharxon

Authors

Saydaliyeva Gavharxon Tashkent University of Information Technologies named after Muhammad al-Khwarizmi Associate Professor of the Foreign Languages Department

Keywords:

synonymy, corpus linguistics, distributional semantics, contextual embeddings, supervised learning, lexical resources, language pedagogy

Abstract

This article examines mechanisms for training synonym knowledge in NLP systems at the intersection of language pedagogy and computational linguistics. The aim is to propose a staged model to detect, cluster, and apply synonymy in educational tasks. The methodology integrates corpus-based distributional semantics, contextual embeddings, and supervised learning. Scientific novelty lies in linking synonymy evaluation criteria to didactic proficiency levels through an explicit training loop.

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