In this paper we present SignaMed, a bilingual dictionary accessible in Spanish and LSE (Spanish Sign Language) specific to the medical domain. Building a sign language dataset to develop machine learning algorithms and linguistic studies is a complex task that requires the cooperation of Deaf people. The dictionary platform, built with their contributions, offers diverse access modes for users, including basic search functionalities, games, and activities for sign donation. It allows sign searching using webcam or mobile phone capturing, facilitating intuitive interaction and feedback. The article presents the technical, linguistic and cooperation details behind the construction of the dictionary and will hopefully serve as inspiration for similar initiatives in other sign languages. The dictionary is accessible through https://signamed.web.app.
@inproceedings{vazquezenriquez:24033:sign-lang:lrec,
author = {V{\'a}zquez-Enr{\'i}quez, Manuel and Alba-Castro, Jos{\'e} Luis and P{\'e}rez-P{\'e}rez, Ania and Cabeza-Pereiro, Mar{\'i}a del Carmen and Doc{\'i}o-Fern{\'a}ndez, Laura},
title = {{SignaMed}: a Cooperative Bilingual {LSE-Spanish} Dictionary in the Healthcare Domain},
pages = {272--280},
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/24033.pdf}
}