PROBLEMS OF CLASSIFICATION OF POLYSEMANTIC TERMS

This article addresses the theoretical and practical challenges in classifying polysemous terms within specialized terminological systems. Drawing on foundational research in cognitive semantics and terminology theory (Apresjan, 1974; Cabré, 1999; Cruse, 2000; Pustejovsky, 1995), it reviews existing classification models, examines their limitations, and analyzes empirical cases from engineering, medicine, and information technology vocabularies. The study proposes an integrated framework that combines sense-relation typologies with corpus-driven metrics to enhance consistency and usability in terminological resources. Implications for lexicography, terminology management, and automated term-disambiguation systems are discussed.