Vol. 1 No. 6 (2026), Articles
Vol. 1 No. 6 (2026)

LINGUO-COGNITIVE CHARACTERISTICS OF NATIONAL-CULTURAL CONCEPTS IN ARTIFICIAL INTELLIGENCE TRANSLATION

Articles
Published 2026-09-16
Sharipova Anisa
Teacher, New Age University
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Keywords

concept, national-cultural concept, linguocognitive analysis, artificial intelligence, machine translation, neural translation, linguoculturology, non-equivalence, translation strategy, cultural code.

How to Cite

Sharipova Anisa. (2026). LINGUO-COGNITIVE CHARACTERISTICS OF NATIONAL-CULTURAL CONCEPTS IN ARTIFICIAL INTELLIGENCE TRANSLATION. Kelajak Texnologiyalari Va sun’iy Intellekt, 1(6), 26-34. https://doi.org/10.5281/zenodo.22802363
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Abstract

This article analyzes the linguo-cognitive characteristics of national-cultural concepts within the translation process carried out by artificial intelligence systems. It synthesizes interpretations of the concept from cognitive linguistics and linguoculturology, while outlining the structural layers (conceptual, imagery-based, and value-based) of national-cultural concepts. The article examines-through practical examples-the capabilities and limitations of neural machine translation systems in conveying conceptual meaning, particularly regarding non-equivalent or partially equivalent national-cultural units (such as concepts like "mehmondo‘stlik" [hospitality], "hashar" [community work], "sarpo" [ceremonial gift], "ustoz-shogird" [master-apprentice relationship], and "oqsoqol" [elder]). Research findings indicate that while artificial intelligence systems succeed in ensuring lexical-semantic correspondence, they fail to fully capture the deep cultural-associative layers of a concept. Based on this, proposals are developed to enhance the quality of conceptual translation.

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