COGNITIVE ANALYSIS OF ANOMOTOPOIC LEXEMAS IN RUSSIAN, ENGLISH AND UZBEKISTAN

Authors

  • Tog'ayeva Aziza Asian University of Technology

DOI:

https://doi.org/10.55640/

Keywords:

onomatopoeia, cognitive linguistics, concept, phonosemantics, reduplication, iconicity, comparative analysis.

Abstract

The present article provides a cognitive analysis of onomatopoetic lexemes in Russian, English, and Uzbek within a comparative-typological framework. The study explores the linguistic nature of sound-imitative units, their mental representation, and the processes of conceptualization. Particular attention is given to phonosemantic features, reduplication models, emotional-expressive functions, and culture-specific characteristics of onomatopoeic expressions. Based on data from the three languages, the research identifies both universal patterns and nationally determined features, as well as the degree of iconicity in the relationship between sound and meaning. The findings demonstrate the role of onomatopoetic lexemes in concept formation and their discursive functions in shaping cognitive models of reality.

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References

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Published

2026-02-14

Issue

Vol. 5 No. 02 (2026): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

COGNITIVE ANALYSIS OF ANOMOTOPOIC LEXEMAS IN RUSSIAN, ENGLISH AND UZBEKISTAN. (2026). Journal of Multidisciplinary Sciences and Innovations, 5(02), 1107-1111. https://doi.org/10.55640/

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