@inproceedings{galiano-jimenez-etal-2024-universitat,
title = "{U}niversitat d{'}Alacant{'}s Submission to the {WMT} 2024 Shared Task on Translation into Low-Resource Languages of {S}pain",
author = "Galiano Jimenez, Aaron and
S{\'a}nchez-Cartagena, V{\'\i}ctor M. and
Perez-Ortiz, Juan Antonio and
S{\'a}nchez-Mart{\'\i}nez, Felipe",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Ninth Conference on Machine Translation",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.wmt-1.85",
pages = "885--891",
abstract = "This paper describes the submissions of the Transducens group of the Universitat d{'}Alacant to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain; in particular, the task focuses on the translation from Spanish into Aragonese, Aranese and Asturian. Our submissions use parallel and monolingual data to fine-tune the NLLB-1.3B model and to investigate the effectiveness of synthetic corpora and transfer-learning between related languages such as Catalan, Galician and Valencian. We also present a many-to-many multilingual neural machine translation model focused on the Romance languages of Spain.",
}
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<abstract>This paper describes the submissions of the Transducens group of the Universitat d’Alacant to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain; in particular, the task focuses on the translation from Spanish into Aragonese, Aranese and Asturian. Our submissions use parallel and monolingual data to fine-tune the NLLB-1.3B model and to investigate the effectiveness of synthetic corpora and transfer-learning between related languages such as Catalan, Galician and Valencian. We also present a many-to-many multilingual neural machine translation model focused on the Romance languages of Spain.</abstract>
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%0 Conference Proceedings
%T Universitat d’Alacant’s Submission to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain
%A Galiano Jimenez, Aaron
%A Sánchez-Cartagena, Víctor M.
%A Perez-Ortiz, Juan Antonio
%A Sánchez-Martínez, Felipe
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Ninth Conference on Machine Translation
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F galiano-jimenez-etal-2024-universitat
%X This paper describes the submissions of the Transducens group of the Universitat d’Alacant to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain; in particular, the task focuses on the translation from Spanish into Aragonese, Aranese and Asturian. Our submissions use parallel and monolingual data to fine-tune the NLLB-1.3B model and to investigate the effectiveness of synthetic corpora and transfer-learning between related languages such as Catalan, Galician and Valencian. We also present a many-to-many multilingual neural machine translation model focused on the Romance languages of Spain.
%U https://aclanthology.org/2024.wmt-1.85
%P 885-891
Markdown (Informal)
[Universitat d’Alacant’s Submission to the WMT 2024 Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.85) (Galiano Jimenez et al., WMT 2024)
ACL