RE-EVALUATING LITERARY EQUIVALENCE: THE ROLE OF PROMPT ENGINEERING IN DIGITAL LITERARY TRANSLATION
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Keywords

Master-Prompting
Translation Transformations
Large Language Models (LLMs)
Uzbek Literature
Aesthetic Recovery
Linguo-Cybernetics
AI in

How to Cite

RE-EVALUATING LITERARY EQUIVALENCE: THE ROLE OF PROMPT ENGINEERING IN DIGITAL LITERARY TRANSLATION. (2026). WORLD OF PHILOLOGY, 5(4), 556-566. https://doi.org/10.70728/phil.v05.i04.095

Abstract

The rapid advancement of Large Language Models (LLMs) has resulted in a "denotative fixation" in machine-assisted translation. In this context, translations often prioritise lexical accuracy over pragmatic and aesthetic resonance. "Human-centric" models are required in the translation of Uzbek literary masterpieces, which are characterised by high morphological density and distinctive cultural concepts [8]. To address these issues, this study introduces a Linguo-Cybernetic Framework that employs the "Master-Prompting" method, a strategy for crafting targeted instructions to guide AI translation.
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References

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