@inproceedings{loock-etal-2025-mt,
    title = "{MT} or not {MT}? Do translation specialists know a machine-translated text when they see one?",
    author = "Loock, Rudy  and
      Moulard, Nathalie  and
      Pacinella, Quentin",
    editor = "Bouillon, Pierrette  and
      Gerlach, Johanna  and
      Girletti, Sabrina  and
      Volkart, Lise  and
      Rubino, Raphael  and
      Sennrich, Rico  and
      Farinha, Ana C.  and
      Gaido, Marco  and
      Daems, Joke  and
      Kenny, Dorothy  and
      Moniz, Helena  and
      Szoc, Sara",
    booktitle = "Proceedings of Machine Translation Summit XX: Volume 1",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-1.35/",
    pages = "442--454",
    ISBN = "978-2-9701897-0-1",
    abstract = "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."
}