AI RESEARCH
Fluency and Faithfulness in Human and Machine Literary Translation
arXiv CS.CL
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ArXi:2605.15282v1 Announce Type: new Literary translation requires balancing target-language fluency with faithfulness to the source. Recent large language models (LLMs) often produce fluent translations, but it remains unclear whether fluency corresponds to semantic preservation in literary text. We examine this relationship using 130,486 translated paragraphs from 106 novels in 16 source languages, including human, Google Translate, and TranslateGemma translations.