Analysis of Russian Metaphorical Denominations from the Perspective of Dynamic Semantics and Evaluation of Their Translation Accuracy by Large Language Models

Metaphorical secondary nominations possess a high cultural load, yet their current status and the level of automated translation remain understudied. This article investigates Russian metaphorical nominations, specifically systematizing the productivity of their semantic derivation models and their current developmental status. By comparing interpretation data from Russian dictionaries and results obtained through the large language model Deepseek, the translation accuracy of the specified linguistic units is evaluated, and corresponding optimization recommendations are formulated.

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