Nathalie Moulard

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2025

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MT or not MT? Do translation specialists know a machine-translated text when they see one?
Rudy Loock | Nathalie Moulard | Quentin Pacinella
Proceedings of Machine Translation Summit XX: Volume 1

In this article, we investigate translation specialists’ capacity to identify raw machine translation (MT) output in comparison with so-called “human” translations produced without any use of MT. Specifically, we measure this capacity via an online activity, based on different criteria: (i) degree of expertise (translation students vs. professionals with at least 5 years’ experience), (ii) MT engine (DeepL, Google Translate, Reverso, ChatGPT), and (iii) length of input (1-3 sentences). A complementary, qualitative analysis, based on participants’ feedback, provides interesting insight on how they discriminate between raw MT output and human translations.
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