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 • MTSummit 2021 • John C. McDonald, Rosalee Wolfe, Eleni Efthimiou, Evita Fontinea, Frankie Picron, Davy Van Landuyt, Tina Sioen, Annelies Braffort, Michael Filhol, Sarah Ebling, Thomas Hanke, Verena Krausneker
Development of automatic translation between signed and spoken languages has lagged behind the development of automatic translation between spoken languages, but it is a common misperception that extending machine translation techniques to include signed languages should be a straightforward process.
no code implementations • SLTAT (LREC) 2022 • Paritosh Sharma, Michael Filhol
We present an algorithm to improve the pre-existing bottom-up animation system for AZee descriptions to synthesize sign language utterances.
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 • SignLang (LREC) 2022 • Michael Filhol, John McDonald
One of the key features of signed discourse is the geometric placements of gestural units in signing space.
no code implementations • LREC 2022 • Camille Challant, Michael Filhol
We wrote the corresponding AZee discourse expressions for the entire video content, i. e. expressions capturing the forms produced by the signers and their associated meaning by combining known production rules, a basic building block for these expressions.
no code implementations • 26 Jun 2023 • Michael Filhol, Thomas von Ascheberg
Cet article propose une m\'ethode pour d\'efinir une forme graphique \'editable standardis\'ee pour les langues des signes, ainsi qu'une proposition "AZVD" et un \'editeur logiciel associ\'e.
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.
no code implementations • LREC 2020 • Marion Kaczmarek, Michael Filhol
This article deals with elaborating a data base of alignments of parallel Franch-LSF segments.
no code implementations • LREC 2020 • Michael Filhol
The main contribution of this paper is the specification of the elicitation protocol, explaining the variables that are likely to affect the diagrams collected.
no code implementations • LREC 2020 • Michael Filhol, John C. McDonald
Proform constructs such as classifier predicates and size and shape specifiers are essential elements of Sign Language communication, but have remained a challenge for synthesis due to their highly variable nature.
no code implementations • LREC 2020 • Marion Kaczmarek, Michael Filhol
As we aim to provide them with such software, we explore the possibilities offered by a first tool: a Sign Language concordancer.
no code implementations • 5 Nov 2018 • Michael Filhol
To equip SL with software properly, we need an input system to represent and manipulate signed contents in the same way that every day software allows to process written text.
no code implementations • 25 Jul 2017 • Michael Filhol, Gilles Falquet
We present a Sign Language modelling approach allowing to build grammars and create linguistic input for Sign synthesis through avatars.
no code implementations • JEPTALNRECITAL 2016 • Mohamed Nassime Hadjadj, Michael Filhol
G{\'e}n{\'e}rer automatiquement des {\'e}nonc{\'e}s en LSF implique la d{\'e}finition de certaines r{\`e}gles de production pour synchroniser les diff{\'e}rents articulateurs du corps, signes, mouvements, etc.
no code implementations • LREC 2012 • Matilde Gonzalez, Michael Filhol, Christophe Collet
Signs are described using Zeebede (ZBD) which is a descriptor of signs that considers the high variability of signs.