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papersSEP 10 04:00 UTC

Study finds readers prefer human translations despite adequate AI literary translation

A computational linguistics paper investigates how readers actually experience AI-translated literary works, looking beyond surface accuracy to immersion and literary impact. The findings suggest that while machine translations convey the content acceptably, readers still favor human versions, indicating that common automatic evaluation metrics overlook qualities that matter most in literary reading.

automatic-evaluation-metricscomputational-linguisticshuman-translationliterary-translationmachine-translationreader-immersion

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