Abstrak

This article investigates the phenomenon of phraseological homonymy, analyzing its formation mechanisms and integration into corpus systems. It examines the levels of phraseology where homonymy occurs, explores methods for identifying and modeling homonymous expressions, and proposes strategies to resolve semantic ambiguities within corpus databases. Experimental modeling was conducted to detect phraseological homonyms automatically in texts and to select their context-appropriate meanings. The results demonstrate that constructing morpho-semantic collocations and linguistic models for phraseological units enhances the corpus system’s ability to comprehend and process complex idiomatic structures more effectively. This research contributes to the advancement of automatic language processing technologies by addressing challenges associated with phraseological ambiguity.

Kata Kunci
Phraseology Lexical Homonymy Homonymous Phrasemes Modeling Metaphorization Associative Background Prototype Free Combination Live Speech Morpho-Semantic Collocation
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