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Professional translators struggle to identify AI-generated text

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

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

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 →

COVERAGE [1]

  1. arXiv cs.CL TIER_1 · 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…