Papers by Annelies Braffort

4 papers
Dicta-Sign-LSF-v2: Remake of a Continuous French Sign Language Dialogue Corpus and a First Baseline for Automatic Sign Language Processing (2020.lrec-1)

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Challenge: Existing research on automatic Sign Language Processing (SLP) has focused on recognizing lexical signs, but other gestural units like iconic structures need to be recognized.
Approach: They propose a public remake of the French Sign Language part of the Dicta-Sign corpus with clean annotations and a Convolutional-Recurrent Neural Network to train and test it.
Outcome: The proposed version of the publicly available SL corpus Dicta-Sign is limited to its French Sign Language part and includes lexical and non-lexical annotations over 11 hours of video recording with 35000 manual units.
Rosetta-LSF: an Aligned Corpus of French Sign Language and French for Text-to-Sign Translation (2022.lrec-1)

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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.
MEDIAPI-SKEL - A 2D-Skeleton Video Database of French Sign Language With Aligned French Subtitles (2020.lrec-1)

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Challenge: MEDIAPI-SKEL is a 2D-skeleton database of french Sign Language videos aligned with French subtitles.
Approach: They propose a 2D-skeleton database of french Sign Language videos aligned with French subtitles and a vocabulary size of 17k tokens.
Outcome: The proposed corpus contains 27 hours of video of body, face and hand keypoints, aligned to subtitles with a vocabulary size of 17k tokens.
Modeling French Sign Language: a proposal for a semantically compositional system (L18-1)

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Challenge: Several studies have proposed linguistic models to describe sign languages, but none have succeeded to describe the specificities of SL.
Approach: They propose a linguistic approach to formalize the sign language (SL) they propose to take into account linguistic properties of the SL while respecting constraints of a modelisation process.
Outcome: The proposed model takes into account linguistic properties of the sign language while respecting constraints of a modelisation process.

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