Artificial Intelligence in Literary Translation: Preserving Authorial Style in the Era of Large Language Models

The rapid development of artificial intelligence has significantly influenced the field of literary translation. Large Language Models (LLMs), particularly ChatGPT, have demonstrated remarkable capabilities in translating texts across languages. However, preserving an author's unique literary style remains one of the greatest challenges for AI-assisted translation. This paper explores the effectiveness of ChatGPT in translating literary prose while maintaining authorial style. Using selected narrative features characteristic of the works of the Uzbek writer O'tkir Hoshimov as a case study, the study examines lexical choices, syntactic structures, emotional tone, cultural references, and stylistic nuances. The paper proposes a qualitative analytical framework for evaluating AI-generated literary translations and discusses the opportunities and limitations of large language models in literary translation.