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JACK LONDON’S MARTIN EDEN: ITS TRANSLATION INTO UZBEK AND MISTAKES OF TRANSLATION

Sotiboldiyeva Gulcharos Murat qizi , Uzbekistan State World Languages University Intern Teacher Tashkent, Uzbekistan

Abstract

This article examines the Uzbek translation of Jack London’s novel Martin Eden, focusing on the mistakes that occur due to misapplication of translation transformations. The analysis identifies common problems such as misinterpreted idioms, stylistic leveling, simplification of philosophical passages, neutralization of irony, and calque errors. Selected examples demonstrate how semantic, stylistic, and pragmatic adequacy is weakened in translation. Drawing on translation theory by Salomov, Komissarov, Barkhudarov, and Schweizer, the study emphasizes the importance of functional equivalents, compensation strategies, and stylistic sensitivity. The findings suggest that to preserve the novel’s intellectual depth and social critique, translators must go beyond literal rendering and ensure pragmatic and cultural adequacy.

Keywords

Jack London, Martin Eden, Uzbek translation, translation mistakes, translation transformations, lexical errors, stylistic adequacy, irony in translation, idioms, calque errors.

References

London, J. (1909). Martin Eden. New York: Macmillan.

London, J. (Uzbek translation). Martin Iden. Toshkent: G‘afur G‘ulom nomidagi Adabiyot va San’at nashriyoti.

Salomov, G. (1983). Tarjima nazariyasi asoslari. Toshkent: O‘qituvchi.

Komissarov, V. N. (1990). Teoriya perevoda. Moscow: Vysshaya shkola.

Barkhudarov, L. S. (1975). Language and Translation: Questions of General and Particular Theory. Moscow: Mezhdunarodnye otnosheniya.

Schweizer, A. D. (1988). Theory of Translation: Status, Problems, Aspects. Moscow: Nauka.

Sotiboldiyeva, G. (2024). “Translation transformations and its types.” Foreign Linguistics and Linguodidactics, 2(1), 19–27. DOI: 10.47689/2181-3701-vol2-iss1-pp19-27.

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JACK LONDON’S MARTIN EDEN: ITS TRANSLATION INTO UZBEK AND MISTAKES OF TRANSLATION. (2025). International Journal of Artificial Intelligence, 5(09), 985-986. https://www.academicpublishers.org/journals/index.php/ijai/article/view/6568