Summary of the paper

Title A Colloquial Corpus of Japanese Sign Language: Linguistic Resources for Observing Sign Language Conversations
Authors Mayumi Bono, Kouhei Kikuchi, Paul Cibulka and Yutaka Osugi
Abstract We began building a corpus of Japanese Sign Language (JSL) in April 2011. The purpose of this project was to increase awareness of sign language as a distinctive language in Japan. This corpus is beneficial not only to linguistic research but also to hearing-impaired and deaf individuals, as it helps them to recognize and respect their linguistic differences and communication styles. This is the first large-scale JSL corpus developed for both academic and public use. We collected data in three ways: interviews (for introductory purposes only), dialogues, and lexical elicitation. In this paper, we focus particularly on data collected during a dialogue to discuss the application of conversation analysis (CA) to signed dialogues and signed conversations. Our annotation scheme was designed not only to elucidate theoretical issues related to grammar and linguistics but also to clarify pragmatic and interactional phenomena related to the use of JSL.
Topics Dialogue, Collaborative Resource Construction
Full paper A Colloquial Corpus of Japanese Sign Language: Linguistic Resources for Observing Sign Language Conversations
Bibtex @InProceedings{BONO14.278,
  author = {Mayumi Bono and Kouhei Kikuchi and Paul Cibulka and Yutaka Osugi},
  title = {A Colloquial Corpus of Japanese Sign Language: Linguistic Resources for Observing Sign Language Conversations},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
 }
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