MEASURING SUBSTANDARD LEXIS SHIFTS IN UZBEK RUSSIAN TRANSLATION USING ALIGNED CORPORA

Authors

  • Makhmudova Yulduz Askarovna Lecturer, Department of Russian Language and Literature Bukhara State University Author

Keywords:

corpus-based translation studies, substandard lexis, translation shifts

Abstract

The paper measures how substandard lexis (argot, jargon, colloquial and vulgar items) changes when Tahir Malik's novel Shaytanat moves from Uzbek into Russian. A sentence-aligned parallel corpus of the novel and its 2016 Russian edition supplies the data. Every substandard token receives a shift label, after which the distribution across five categories, namely neutralisation, register shift, compensation, explicitation and omission, is counted. Neutralisation prevails, which supports Toury's law of growing standardisation for this low-resource pair. Criminal argot resists neutralisation more than colloquial items, because Russian offers ready equivalents inherited from a shared Soviet-era substandard stock

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Published

2026-06-09

Issue

Vol. 4 No. 06 (2026): WEJLE

Section

Articles

License

Creative Commons License

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

How to Cite

MEASURING SUBSTANDARD LEXIS SHIFTS IN UZBEK RUSSIAN TRANSLATION USING ALIGNED CORPORA. (2026). Western European Journal of Linguistics and Education, 4(06), 96-103. https://westerneuropeanstudies.com/index.php/2/article/view/3815