no code implementations • LREC 2022 • Christophe Parisse, Marion Blondel, Stéphanie Caët, Claire Danet, Coralie Vincent, Aliyah Morgenstern
Our coding procedure incorporates the use of the ELAN software.
no code implementations • LREC 2022 • Elise Bertin-Lemée, Annelies Braffort, Camille Challant, Claire Danet, Boris Dauriac, Michael Filhol, Emmanuella Martinod, Jérémie Segouat
These are: news headlines in French, translations of these headlines into LSF in the form of videos showing animations of a virtual signer, gloss annotations of the “traditional” type—although including additional information on the context in which each gestural unit is performed as well as their potential for adaptation to another context—and AZee representations of the videos, i. e. formal expressions capturing the necessary and sufficient linguistic information.
no code implementations • SignLang (LREC) 2022 • Claire Danet, Chloé Thomas, Adrien Contesse, Morgane Rébulard, Claudia S. Bianchini, Léa Chevrefils, Patrick Doan
Research on sign languages (SLs) requires dedicated, efficient and comprehensive transcription systems to analyze and compare the sign parameters; at present, many transcription systems focus on manual parameters, relegating the non‐manual component to a lesser role.
no code implementations • SignLang (LREC) 2022 • Emmanuella Martinod, Claire Danet, Michael Filhol
AZee is a linguistic and formal approach to modeling LSF.
no code implementations • 6 May 2022 • Élise Bertin-Lemée, Annelies Braffort, Camille Challant, Claire Danet, Michael Filhol
This article presents an original method for Text-to-Sign Translation.