@inproceedings{bawden-etal-2025-matos,
    title = "{M}a{TOS}: Machine Translation for Open Science",
    author = {Bawden, Rachel  and
      B{\'e}nard, Maud  and
      de la Clergerie, {\'E}ric  and
      C{\'a}rcamo, Jos{\'e} Cornejo  and
      Dahan, Nicolas  and
      Delorme, Manon  and
      Huguin, Mathilde  and
      K{\"u}bler, Natalie  and
      Lerner, Paul  and
      Mestivier, Alexandra  and
      Minder, Joachim  and
      Nomin{\'e}, Jean-Fran{\c{c}}ois  and
      Peng, Ziqian  and
      Romary, Laurent  and
      Tsolakis, Panagiotis  and
      Zhu, Lichao  and
      Yvon, Fran{\c{c}}ois},
    editor = {Bouillon, Pierrette  and
      Gerlach, Johanna  and
      Girletti, Sabrina  and
      Volkart, Lise  and
      Rubino, Raphael  and
      Sennrich, Rico  and
      L{\"a}ubli, Samuel  and
      Volk, Martin  and
      Espl{\`a}-Gomis, Miquel  and
      Vandeghinste, Vincent  and
      Moniz, Helena  and
      Szoc, Sara},
    booktitle = "Proceedings of Machine Translation Summit XX: Volume 2",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/sigarab-more-entries-6621/2025.mtsummit-2.22/",
    pages = "103--104",
    ISBN = "978-2-9701897-1-8",
    abstract = "This paper is a short presentation of MaTOS, a project focusing on the automatic translation of scholarly documents. Its main aims are threefold: (a) to develop resources (term lists and corpora) for high-quality machine translation; (b) to study methods for translating complete, structured documents in a cohesive and consistent manner; (c) to propose novel metrics to evaluate machine translation in technical domains. Publications and resources are available on the project web site: https://anr-matos.gihub.io."
}