KAZOO: a sign language generation platform based on production rules
Autor: | Cyril Verrecchia, Annick Choisier, Laurence Bolot, Maxime Delorme, Michael Filhol, Annelies Braffort |
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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: |
Computer Networks and Communications
Computer science Virtual Signer 02 engineering and technology Representation (arts) Sign language Sign Language Generation [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL] World Wide Web Software Human–computer interaction 0202 electrical engineering electronic engineering information engineering Web application 0501 psychology and cognitive sciences [INFO]Computer Science [cs] Architecture Control (linguistics) 050107 human factors Computer animation business.industry 05 social sciences Signing Avatar Human-Computer Interaction 020201 artificial intelligence & image processing Production (computer science) business Information Systems |
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 platformâs 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 authorsâ own linguistic model AZee, providing a means of validating this model. |
Databáze: | OpenAIRE |
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