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Transformation Of Pejorative Vocabulary In AI-Generated Texts: A Comparative Analysis Of Russian- And Uzbek-Language LLMS

Authors

  • Matluba Qulfiddinovna Zaripova

    Termez State University Associate Professor, Department of Russian Linguistics
    Author

Keywords:

artificial intelligence, large language models (LLMs), pejorative vocabulary, text generation, Russian language, Uzbek language, comparative analysis, natural language processing.

Abstract

The article examines the transformation of pejorative vocabulary in AI-generated texts through a comparative analysis of Russian- and Uzbek-language large language models (LLMs). It explores how modern language models interpret, transfer, and neutralize pejorative units, as well as the influence of linguistic and cultural factors on the quality of generated texts. Particular attention is paid to the similarities and differences in the processing of emotionally evaluative vocabulary in Russian and Uzbek.

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Published

2026-07-14

How to Cite

Zaripova, M. Q. (2026). Transformation Of Pejorative Vocabulary In AI-Generated Texts: A Comparative Analysis Of Russian- And Uzbek-Language LLMS. TLEP – International Journal of Multidiscipline, 3(7), 23-25. https://tlepub.org/index.php/1/article/view/1066