Spontaneous Catalan Sign Language Recognition: Data Acquisition and Classification

Naiara Garmendia, Horacio Saggion, Euan McGill


Abstract
This work presents the first investigation into Spontaneous Isolated Sign Language Recognition for Catalan Sign Language (LSC). Our work is grounded on the derivation of a dataset of signs and their glosses from a corpus of spontaneous dialogues and monologues. The recognition model is based on a Multi-Scale Graph Convolutional network fitted to our data. Results are promising since several signs are recognized with a high level of accuracy, and an average accuracy of 71% on the top 5 predicted classes from a total of 105 available. An interactive interface with experimental results is also presented. The data and software are made available to the research community.
Anthology ID:
2025.at4ssl-1.2
Volume:
Proceedings of the Third International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)
Month:
June
Year:
2025
Address:
Geneva, Switzerland
Editors:
Dimitar Shterionov, Mirella De Sisto, Bram Vanroy, Vincent Vandeghinste, Victoria Nyst, Myriam Vermeerbergen, Floris Roelofsen, Lisa Lepp, Irene Strasly
Venue:
AT4SSL
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
7–15
Language:
URL:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.at4ssl-1.2/
DOI:
Bibkey:
Cite (ACL):
Naiara Garmendia, Horacio Saggion, and Euan McGill. 2025. Spontaneous Catalan Sign Language Recognition: Data Acquisition and Classification. In Proceedings of the Third International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL), pages 7–15, Geneva, Switzerland. European Association for Machine Translation.
Cite (Informal):
Spontaneous Catalan Sign Language Recognition: Data Acquisition and Classification (Garmendia et al., AT4SSL 2025)
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PDF:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.at4ssl-1.2.pdf