Papers by Camille Challant
Rosetta-LSF: an Aligned Corpus of French Sign Language and French for Text-to-Sign Translation (2022.lrec-1)
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Elise Bertin-Lemée, Annelies Braffort, Camille Challant, Claire Danet, Boris Dauriac, Michael Filhol, Emmanuella Martinod, Jérémie Segouat
| Challenge: | a new corpus of french Sign Language (LSF) data is created to support future studies on the automatic translation of written French into LSF, rendered through the animation of a virtual signer. |
| Approach: | They propose to use a French Sign Language corpus called "Rosetta-LSF" it is intended to support studies on automatic translation of written French into LSF . |
| Outcome: | The proposed corpus supports future studies on automatic translation of written French into LSF, rendered through animation of a virtual signer. |
Extending AZee with Non-manual Gesture Rules for French Sign Language (2024.lrec-main)
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| Challenge: | Currently, Sign Languages (SLs) are under-resourced and are difficult to develop. |
| Approach: | They propose to extend AZee to formally represent Sign Language discourses, but also to animate them with a virtual signer. |
| Outcome: | The proposed model allows to formally represent Sign Language discourses, but also to animate them with a virtual signer. |
A First Corpus of AZee Discourse Expressions (2022.lrec-1)
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| Challenge: | a corpus of AZee discourse expressions which formally describe Sign Language utterances of any length is presented. |
| Approach: | They propose to build a corpus of AZee discourse expressions which formally describe Sign Language utterances of any length using the AZEe approach and language. |
| Outcome: | The proposed corpus is based on a video production of a French Sign Language speech expression containing 40 breves and is evaluated on real-life utterances. |