LINGUOCULTURAL ANALYSIS OF THE TRANSLATIONS OF 20TH CENTURY UZBEK STORIES AND NOVELLAS

This article investigates the translations of Uzbek stories and novellas of the 20th century from a linguocultural perspective. It explores the historical development of translation and translation processes, the linguistic and cultural aspects of translation, and the complexities involved in translating Uzbek literary works into English, providing examples of these challenges. The importance of the translator's knowledge and experience, understanding of cultural context, and preservation of poetic expression during the translation process is highlighted. The article encompasses the fields of linguoculturology, linguistics, and translation studies, demonstrating their interconnections.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-20
DOI
https://doi.org/10.5281/zenodo.15704333
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

LINGUOCULTURAL ANALYSIS OF THE TRANSLATIONS OF 20TH CENTURY UZBEK STORIES AND NOVELLAS

Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

LINGUOCULTURAL ANALYSIS OF THE TRANSLATIONS OF 20TH CENTURY UZBEK STORIES AND NOVELLAS

article en

Abstract

This article investigates the translations of Uzbek stories and novellas of the 20th century from a linguocultural perspective. It explores the historical development of translation and translation processes, the linguistic and cultural aspects of translation, and the complexities involved in translating Uzbek literary works into English, providing examples of these challenges. The importance of the translator's knowledge and experience, understanding of cultural context, and preservation of poetic expression during the translation process is highlighted. The article encompasses the fields of linguoculturology, linguistics, and translation studies, demonstrating their interconnections.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 54%
Computational Drug Discovery Methods
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