Communication Dans Un Congrès Année : 2025

Translating Sentences from Written French into LSF Annotation

Résumé

The automatic translation of written language into sign language can be approached as a two-stage process. In the first stage, written sentences are transcribed into gloss-based annotations that represent the structure of the target sign language; in the second, these annotations are used to generate 3D animations via a signing avatar. This paper focuses on the first stage: the automatic generation of gloss-based representations for French Sign Language (LSF) from written French. Beyond the general methodological framework, our main contributions are as follows: (i) the design of a parameterized glossed-based specification language that accurately captures the grammatical properties of LSF; and (ii) the implementation of a method for transcribing written French into gloss-based LSF annotations, using large language models trained on a limited amount of data. Our approach is evaluated using a bilingual corpus collected within the SignToKids project [27]. The results are promising and demonstrate the method's potential for scaling to larger datasets.

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hal-05446808 , version 1 (07-01-2026)

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Clément Reverdy, Sylvie Gibet, Pierre-François Marteau. Translating Sentences from Written French into LSF Annotation. IVA Adjunct '25: ACM International Conference on Intelligent Virtual Agents, Sep 2025, Berlin Germany, France. pp.1-6, ⟨10.1145/3742886.3756725⟩. ⟨hal-05446808⟩
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