Summary of the paper

Title Modeling French Sign Language: a proposal for a semantically compositional system
Authors Mohamed nassime Hadjadj, Michael Filhol and Annelies Braffort
Abstract The recognition of French Sign Language (LSF) as a natural language in 2005 created an important need for the development of tools to make information accessible to the deaf public. With this prospect, the goal of this article is to propose a linguistic approach aimed at modeling the French sign language. We first present the models proposed in computer science to formalize the sign language (SL). We also show the difficulty of applying the grammars originally designed for spoken languages to model SL. In a second step, we propose an approach allowing to take into account the linguistic properties of the SL while respecting the constraints of a modelisation process. By studying the links between semantic functions and their observed forms in Corpus, we have identified several production rules that govern the functioning of the LSF. We finally present the rule functioning as a system capable of modeling an entire utterance in French sign language.
Topics Sign Language Recognition/Generation, Semantics, Language Modelling
Full paper Modeling French Sign Language: a proposal for a semantically compositional system
Bibtex @InProceedings{HADJADJ18.704,
  author = {Mohamed nassime Hadjadj and Michael Filhol and Annelies Braffort},
  title = "{Modeling French Sign Language: a proposal for a semantically compositional system}",
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year = {2018},
  month = {May 7-12, 2018},
  address = {Miyazaki, Japan},
  editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {979-10-95546-00-9},
  language = {english}
  }
Powered by ELDA © 2018 ELDA/ELRA