KAZOO: a sign language generation platform based on production rules

Autor: Cyril Verrecchia, Annick Choisier, Laurence Bolot, Maxime Delorme, Michael Filhol, Annelies Braffort
Přispěvatelé: Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université - UFR d'Ingénierie (UFR 919), Sorbonne Université (SU)-Sorbonne Université (SU)-Université Paris-Saclay-Université Paris-Sud - Paris 11 (UP11)
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: International Workshop on Sign Language Translation and Avatar Technology
International Workshop on Sign Language Translation and Avatar Technology, Jan 2013, Chicago, United States
Universal Access in the Information Society
Universal Access in the Information Society, Springer Verlag, 2016, 15, pp.541-550
ISSN: 1615-5289
1615-5297
Popis: International audience; This paper describes KAZOO, a web application for sign language (SL) generation using a virtual signer. Firstly, it explains the motivation to this project, which is grounded on an approach designed solely from SL corpus analysis and modelling. Then, various projects conducted in the past few years on linguistic modelling and 3D animation are presented. The platform’s architecture integrates parts of this work and new pieces of software allowing control and linking of all these components. This is an ongoing project, though the current version offers the possibility to animate a virtual signer automatically and synthesize the contents using an abstract representation, the authors’ own linguistic model AZee, providing a means of validating this model.
Databáze: OpenAIRE