@inproceedings{bono-etal-2020-utterance,
    title = "Utterance-Unit Annotation for the {JSL} Dialogue Corpus: Toward a Multimodal Approach to Corpus Linguistics",
    author = "Bono, Mayumi  and
      Sakaida, Rui  and
      Okada, Tomohiro  and
      Miyao, Yusuke",
    editor = "Efthimiou, Eleni  and
      Fotinea, Stavroula-Evita  and
      Hanke, Thomas  and
      Hochgesang, Julie A.  and
      Kristoffersen, Jette  and
      Mesch, Johanna",
    booktitle = "Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/2020.signlang-1.3/",
    pages = "13--20",
    language = "eng",
    ISBN = "979-10-95546-54-2",
    abstract = "This paper describes a method for annotating the Japanese Sign Language (JSL) dialogue corpus. We developed a way to identify interactional boundaries and define a {\textquoteleft}utterance unit' in sign language using various multimodal features accompanying signing. The utterance unit is an original concept for segmenting and annotating sign language dialogue referring to signer`s native sense from the perspectives of Conversation Analysis (CA) and Interaction Studies. First of all, we postulated that we should identify a fundamental concept of interaction-specific unit for understanding interactional mechanisms, such as turn-taking (Sacks et al. 1974), in sign-language social interactions. Obviously, it does should not relying on a spoken language writing system for storing signings in corpora and making translations. We believe that there are two kinds of possible applications for utterance units: one is to develop corpus linguistics research for both signed and spoken corpora; the other is to build an informatics system that includes, but is not limited to, a machine translation system for sign languages."
}