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        <title>Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language</title>
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    <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.</abstract>
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%0 Conference Proceedings
%T Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language
%A Sousa, Catarina
%A Coheur, Luisa
%A Moita, Mara
%Y Bouamor, Houda
%Y Pino, Juan
%Y Bali, Kalika
%S Findings of the Association for Computational Linguistics: EMNLP 2023
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F sousa-etal-2023-enhancing
%X 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.
%R 10.18653/v1/2023.findings-emnlp.766
%U https://aclanthology.org/2023.findings-emnlp.766/
%U https://doi.org/10.18653/v1/2023.findings-emnlp.766
%P 11452-11460

Markdown (Informal)

[Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language](https://aclanthology.org/2023.findings-emnlp.766/) (Sousa et al., Findings 2023)

• Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language (Sousa et al., Findings 2023)

ACL

• Catarina Sousa, Luisa Coheur, and Mara Moita. 2023. Enhancing Accessible Communication: from European Portuguese to Portuguese Sign Language. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 11452–11460, Singapore. Association for Computational Linguistics.