@inproceedings{declerck-etal-2023-linked,
    title = "A Linked Data Approach for linking and aligning Sign Language and Spoken Language Data",
    author = "Declerck, Thierry  and
      Bigeard, Sam  and
      Khan, Fahad  and
      Murtagh, Irene  and
      Olsen, Sussi  and
      Rosner, Mike  and
      Schuurman, Ineke  and
      Tchechmedjiev, Andon  and
      Way, Andy",
    editor = "Shterionov, Dimitar  and
      Sisto, Mirella De  and
      Muller, Mathias  and
      Landuyt, Davy Van  and
      Omardeen, Rehana  and
      Oboyle, Shaun  and
      Braffort, Annelies  and
      Roelofsen, Floris  and
      Blain, Fred  and
      Vanroy, Bram  and
      Avramidis, Eleftherios",
    booktitle = "Proceedings of the Second International Workshop on Automatic Translation for Signed and Spoken Languages",
    month = jun,
    year = "2023",
    address = "Tampere, Finland",
    publisher = "European Association for Machine Translation",
    url = "https://aclanthology.org/2023.at4ssl-1.2",
    pages = "11--21",
    abstract = "We present work dealing with a Linked Open Data (LOD)-compliant representation of Sign Language (SL) data, with the goal of supporting the cross-lingual alignment of SL data and their linking to Spoken Language (SpL) data. The proposed representation is based on activities of groups of researchers in the field of SL who have investigated the use of Open Multilingual Wordnet (OMW) datasets for (manually) cross-linking SL data or for linking SL and SpL data. Another group of researchers is proposing an XML encoding of articulatory elements of SLs and (manually) linking those to an SpL lexical resource. We propose an RDF-based representation of those various data. This unified formal representation offers a semantic repository of information on SL and SpL data that could be accessed for supporting the creation of datasets for training or evaluating NLP applications dealing with SLs, thinking for example of Machine Translation (MT) between SLs and between SLs and SpLs.",
}