COMPARATIVE ANALYSIS OF INFORMATION TECHNOLOGY TEXT TRANSLATIONS BETWEEN ENGLISH AND UZBEK

This study offers a comparative analysis of Information Technology (IT) text translation between English and Uzbek, focusing on direction-specific challenges and strategies in English-Uzbek (E-U) and Uzbek-English (U-E) workflows. Drawing on literature and illustrative examples, the paper shows that E-U translation is characterized by terminology non-equivalence, the need to coin or standardize neologisms, and extensive syntactic re-structuring to fit Uzbek’s agglutinative morphology. Translators frequently combine borrowing, calque, and paraphrase, and engage in explicitation (e.g., unpacking compound noun phrases and clarifying acronyms) to maintain clarity and accessibility. In contrast, U-E translation benefits from a rich, standardized English technical lexicon but poses stylistic and idiomatic challenges, especially for translators working into an L2. Here, successful practice hinges on normalization and implicitation—condensing circumlocutory Uzbek descriptions into concise English technical terms (e.g., rendering bulutga joylashtirish as “cloud deployment”) – alongside rigorous terminological consistency. Across both directions, results underscore the centrality of domain knowledge, terminology management, and audience-aware choices. The discussion situates these findings within directionality research, arguing that with training and editorial workflows, high-quality output is attainable in both directions. The paper concludes with practical implications for translator training in term creation (E-U) and idiomatic polishing (U-E), highlighting how improved practices can enhance cross-lingual access to IT knowledge.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-08
DOI
https://doi.org/10.5281/zenodo.17295885
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
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article

COMPARATIVE ANALYSIS OF INFORMATION TECHNOLOGY TEXT TRANSLATIONS BETWEEN ENGLISH AND UZBEK

Zenodo (CERN European Organization for Nuclear Research)
Single-cell and spatial transcriptomics
article

COMPARATIVE ANALYSIS OF INFORMATION TECHNOLOGY TEXT TRANSLATIONS BETWEEN ENGLISH AND UZBEK

article en

Abstract

This study offers a comparative analysis of Information Technology (IT) text translation between English and Uzbek, focusing on direction-specific challenges and strategies in English-Uzbek (E-U) and Uzbek-English (U-E) workflows. Drawing on literature and illustrative examples, the paper shows that E-U translation is characterized by terminology non-equivalence, the need to coin or standardize neologisms, and extensive syntactic re-structuring to fit Uzbek’s agglutinative morphology. Translators frequently combine borrowing, calque, and paraphrase, and engage in explicitation (e.g., unpacking compound noun phrases and clarifying acronyms) to maintain clarity and accessibility. In contrast, U-E translation benefits from a rich, standardized English technical lexicon but poses stylistic and idiomatic challenges, especially for translators working into an L2. Here, successful practice hinges on normalization and implicitation—condensing circumlocutory Uzbek descriptions into concise English technical terms (e.g., rendering bulutga joylashtirish as “cloud deployment”) – alongside rigorous terminological consistency. Across both directions, results underscore the centrality of domain knowledge, terminology management, and audience-aware choices. The discussion situates these findings within directionality research, arguing that with training and editorial workflows, high-quality output is attainable in both directions. The paper concludes with practical implications for translator training in term creation (E-U) and idiomatic polishing (U-E), highlighting how improved practices can enhance cross-lingual access to IT knowledge.

Zenodo (CERN European Organization for Nuclear Research)
MagiQ Technologies (United States) (US)
Quality Education
Openalex Percentile: Top 46%
Single-cell and spatial transcriptomics
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COMPARATIVE ANALYSIS OF INFORMATION TECHNOLOGY TEXT TRANSLATIONS BETWEEN ENGLISH AND UZBEK · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS