Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language
Catarina Sousa, Luisa Coheur, Mara Moita
Abstract
Portuguese Sign Language (LGP) is the official language in deaf education in Portugal. Current approaches in developing a translation system between European Portuguese and LGP rely on hand-crafted rules. In this paper, we present a fully automatic corpora-driven rule-based machine translation system between European Portuguese and LGP glosses, and also two neural machine translation models. We also contribute with the LGP-5-Domain corpus, composed of five different text domains, built with the help of our rule-based system, and used to train the neural models. In addition, we provide a gold collection, annotated by LGP experts, that can be used for future evaluations. Compared with the only similar available translation system, PE2LGP, results are always improved with the new rule-based model, which competes for the highest scores with one of the neural models.
BibTeX
@inproceedings{
sousa2023enhancing,
title={Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language},
author={Catarina Sousa and Luisa Coheur and Mara Moita},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=IT2bT8UigY}
}