@inproceedings{david-etal-2025-pasco1,
    title = "{P}a{SC}o1: A Parallel Video-{S}i{GML} {S}wiss {F}rench {S}ign {L}anguage Corpus in Medical Domain",
    author = "David, Bastien  and
      Bouillon, Pierrette  and
      Mutal, Jonathan  and
      Strasly, Irene  and
      Gerlach, Johanna  and
      Spechbach, Herv{\'e}",
    editor = "Shterionov, Dimitar  and
      Sisto, Mirella De  and
      Vanroy, Bram  and
      Vandeghinste, Vincent  and
      Nyst, Victoria  and
      Vermeerbergen, Myriam  and
      Roelofsen, Floris  and
      Lepp, Lisa  and
      Strasly, Irene",
    booktitle = "Proceedings of the Third International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.at4ssl-1.4/",
    pages = "37--43",
    ISBN = "978-2-9701897-3-2",
    abstract = "This article introduces the parallel sign language translation corpus, PaSCo1, developed as part of the BabelDr project, an automatic speech translation system for medical triage. PaSCo1 aims to make a set of medical data available in Swiss French Sign Language (LSF-CH) in the form of both videos signed by a human and their description in G-SiGML mark-up language. We describe the beginnings of the corpus as part of the BabelDr project, as well as the methodology used to create the videos and generate the G-SiGML language using the SiGLA platform. The resulting FAIR corpus comprises 2 031 medical questions and instructions in the form of videos and G-SiGML code."
}