Two New AZee Production Rules Refining Multiplicity in French Sign Language

Emmanuella Martinod (1) , Claire Danet (1) , Michael Filhol

1 ILES - Information, Langue Ecrite et Signée

This paper is a contribution to sign language (SL) modeling. We focus on the hitherto imprecise notion of "Multiplicity", assumed to express plurality in French Sign Language (LSF), using AZee approach. AZee is a linguistic and formal approach to modeling LSF. It takes into account the linguistic properties and specificities of LSF while respecting constraints linked to a modeling process. We present the methodology to extract AZee production rules. Based on the analysis of strong form-meaning associations in SL data (elicited image descriptions and short news), we identified two production rules structuring the expression of multiplicity in LSF. We explain how these newly extracted production rules are different from existing ones. Our goal is to refine the AZee approach to allow the coverage of a growing part of LSF. This work could lead to an improvement in SL synthesis and SL automatic translation.

Mots clés: AZee; Sign language; Formal representation; Multiplicity; Plural

Domaines: Linguistique; Informatique et langage [cs.CL]

Emmanuella Martinod, Claire Danet, Michael Filhol. Two New AZee Production Rules Refining Multiplicity in French Sign Language. Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, Jun 2022, Marseille, France. ⟨hal-03715770⟩