The Transformation of Literary Translation Strategies in the Context of Generative Artificial Intelligence: a Linguo-cognitive and Pragmatic Analysis
Year: 2026
Type: article
Abstract: This article investigates the transformation of literary translation strategies in the context of generative artificial intelligence from linguo-cognitive and pragmatic perspectives. It examines the capabilities of large language models (LLMs) in literary translation, the influence of prompt instructions on translation decisions, and the ways in which traditional translation strategies manifest themselves in the new technological environment. The study explores the strategies of domestication, foreignization, explicitation, implicitation, generalization, and specification in terms of their ability to convey cognitive content, communicative intention, and linguocultural features. The article substantiates semantic equivalence, cognitive adequacy, pragmatic appropriateness, linguocultural relevance, and literary-stylistic correspondence as interrelated criteria for evaluating translation quality. Particular attention is paid to the role of prompt engineering as a means of directing the translation process and regulating the reproduction of the semantic, figurative, pragmatic, and cultural dimensions of literary texts. A conceptual model is proposed to explain the interaction between source-text characteristics, prompt instructions, generative AI, and the resulting literary translation.
Source: HSR (London)
Author: Sadirova Sitora Sobirovna
Language: English
Subfield: Language and Linguistics
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7225763104
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