Dicta-Sign-LSF-v2
The Dicta-Sign-LSF-v2 is an extended version of the French Sign Language sub-corpus of the Dicta-Sign Corpus providing primary data (videos), elicitation data, annotation data and a related annotation guide, as well as preprocessed signer data including facial pose, upper body pose and hand shape estimates. It contains nine dialogue sessions with 18 signers of French Sign Language covering the topic of travel. The data was annotated in more detail and a convolutional-recurrent learning network was trained on the data, drawing on a compact and generalisable modeling of the signers to provide a baseline for the recognition of lexical signs and non-lexical structures. Dicta-Sign-LSF-v2 was built at the Laboratoire d'informatique pour la mécanique et les sciences de l'ingénieur (LIMSI) in 2020.
| Language | French Sign Language |
|---|---|
| Size | 11 hours recorded, 35000 tokens annotated |
| Participants | 16 participants |
| Metadata Format | not available |
| Translation | French, 11 hours (100%) translated |
| Annotation |
Fully annotated (100%)
Lexical sign, illustrative sign, pointing, tag, number, typing and gesture annotated See Braffort (2019) for more detail |
| Data Format | Open Pose, CNN models |
| Licence | CC BY-NC-SA 4.0 |
| Access | Access to videos, elicitation material and partial annotations via Ortolang requires registration |
| Webpage | Dataset: https://hdl.handle.net/11403/dicta-sign-lsf-v2/v1 |
| Institution | Laboratoire d'informatique pour la mécanique et les sciences de l'ingénieur (LIMSI) |
Cite as
Identifiant ISLRN: 442-418-132-318-7
Valentin Belissen, Annelies Braffort, Michèle Gouiffès. Dicta-Sign-LSF-v2: Remake of a Continuous French Sign Language Dialogue Corpus and a First Baseline for Automatic Sign Language Processing. LREC 2020, 12th Conference on Language Resources and Evaluation, 2020, Marseille, France. [hal-02541792] Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur (LIMSI) (2022). Dicta-Sign-LSF-v2 [Corpus]. ORTOLANG (Open Resources and TOols for LANGuage) - www.ortolang.fr, v1, https://hdl.handle.net/11403/dicta-sign-lsf-v2/v1.
Common tasks used in this corpus
| Task | Subject areas |
|---|---|
| # recordings – open access | 8 |
| # recordings – restricted access | 8 |
| Data available | https://hdl.handle.net/11403/dicta-sign-lsf-v2/v1 |
Articles mentioned above
- Annelies Braffort (2019). "Dicta-Sign-LSF Corpus Annotation manual". Annotation Convention. 8 pp.
This entry was last modified on 29 June 2023.