Missing the human touch?

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Pioneering study reveals machine translations have quality similarities to human translations, suggesting AI's role in literary translation.

Machine translations show comparable quality to human translations in literary contexts.
Quality assessment was grounded in qualitative analysis emphasizing features found in both translation types.
Computational analysis highlights the relevance of evaluating machine-generated translations.
Implications raise questions about the future of literary translation amid fuzzy distinctions between AI and human outputs.

Yao et al. (2025) studied this question.

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Pioneering study reveals machine translations have quality similarities to human translations, suggesting AI's role in literary translation.