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Professional translators struggle to identify AI-generated text

By PulseAugur Editorial · [1 sources] ·

A recent study published on arXiv investigated whether professional translators could identify AI-generated text. In an experiment involving 69 translators assessing short stories, a significant minority (16.2%) were able to distinguish AI-written stories from human-authored ones. However, a similar number misclassified the texts, sometimes due to a preference for AI-generated content. The research identified low burstiness and narrative contradictions as key indicators of AI authorship, while grammatical accuracy and emotional tone were less reliable. AI

IMPACT Suggests potential challenges for editors and readers in distinguishing human from AI-generated content.

RANK_REASON Academic paper on AI text detection capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Professional translators struggle to identify AI-generated text

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Academic paper on AI text detection capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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153 days old
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Michael Farrell ·

    Can professional translators identify machine-generated text?

    arXiv:2601.15828v3 Announce Type: replace Abstract: This study investigates whether professional translators without prior specialized training can reliably identify short stories generated in Italian by artificial intelligence (AI). Sixty-nine translators took part in an in-pers…

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