sign-lang@LREC Anthology

Matignon-LSF: a Large Corpus of Interpreted French Sign Language

Halbout, Julie | Fabre, Diandra | Ouakrim, Yanis | Lascar, Julie | Braffort, Annelies ORCID button Braffort, Annelies | Gouiffès, Michèle | Beautemps, Denis


Volume:
Proceedings of the LREC-COLING 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources
Venue:
Torino, Italy
Date:
25 May 2024
Pages:
202–208
Publisher:
ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)
License:
CC BY-NC 4.0
sign-lang ID:
24024
ACL ID:
2024.signlang-1.10
ISBN:
978-2-493814-30-2

Abstract

In this paper we present Matignon-LSF, the first dataset of interpreted French Sign Language (LSF) and one of the largest LSF dataset available for research to date. This is a dataset of live interpreted LSF during public speeches by the French government. The dataset comprises 39 hours of LSF videos with French language audio and corresponding subtitles. In addition to this data, we offer pre-computed video features (I3D). We provide a detailed analysis of the proposed dataset as well as some experimental results to demonstrate the interest of this novel dataset.

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@inproceedings{halbout:24024:sign-lang:lrec,
  author    = {Halbout, Julie and Fabre, Diandra and Ouakrim, Yanis and Lascar, Julie and Braffort, Annelies and Gouiff{\`e}s, Mich{\`e}le and Beautemps, Denis},
  title     = {{Matignon-LSF}: a Large Corpus of Interpreted {French} {Sign} {Language}},
  pages     = {202--208},
  editor    = {Efthimiou, Eleni and Fotinea, Stavroula-Evita and Hanke, Thomas and Hochgesang, Julie A. and Mesch, Johanna and Schulder, Marc},
  booktitle = {Proceedings of the {LREC-COLING} 2024 11th Workshop on the Representation and Processing of Sign Languages: Evaluation of Sign Language Resources},
  maintitle = {2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC-COLING} 2024)},
  publisher = {{ELRA Language Resources Association (ELRA) and the International Committee on Computational Linguistics (ICCL)}},
  address   = {Torino, Italy},
  day       = {25},
  month     = may,
  year      = {2024},
  isbn      = {978-2-493814-30-2},
  language  = {english},
  url       = {https://www.sign-lang.uni-hamburg.de/lrec/pub/24024.pdf}
}
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