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        <title>TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24</title>
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            <title>Proceedings of the Ninth Conference on Machine Translation</title>
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        <name type="personal">
            <namePart type="given">Philipp</namePart>
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    <abstract>We present the results of our constrained submission to the WMT 2024 shared task, which focuses on translating from Spanish into two low-resource languages of Spain: Aranese (spa-arn) and Aragonese (spa-arg). Our system integrates real and synthetic data generated by large language models (e.g., BLOOMZ) and rule-based Apertium translation systems. Built upon the pre-trained NLLB system, our translation model utilizes a multistage approach, progressively refining the initial model through the sequential use of different datasets, starting with large-scale synthetic or crawled data and advancing to smaller, high-quality parallel corpora. This approach resulted in BLEU scores of 30.1 for Spanish to Aranese and 61.9 for Spanish to Aragonese.</abstract>
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%0 Conference Proceedings
%T TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24
%A Mutal, Jonathan
%A Ormaechea, Lucía
%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 mutal-ormaechea-2024-tim
%X We present the results of our constrained submission to the WMT 2024 shared task, which focuses on translating from Spanish into two low-resource languages of Spain: Aranese (spa-arn) and Aragonese (spa-arg). Our system integrates real and synthetic data generated by large language models (e.g., BLOOMZ) and rule-based Apertium translation systems. Built upon the pre-trained NLLB system, our translation model utilizes a multistage approach, progressively refining the initial model through the sequential use of different datasets, starting with large-scale synthetic or crawled data and advancing to smaller, high-quality parallel corpora. This approach resulted in BLEU scores of 30.1 for Spanish to Aranese and 61.9 for Spanish to Aragonese.
%U https://aclanthology.org/2024.wmt-1.82
%P 862-870

Markdown (Informal)

[TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24](https://aclanthology.org/2024.wmt-1.82) (Mutal & Ormaechea, WMT 2024)

• TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24 (Mutal & Ormaechea, WMT 2024)

ACL

• Jonathan Mutal and Lucía Ormaechea. 2024. TIM-UNIGE Translation into Low-Resource Languages of Spain for WMT24. In Proceedings of the Ninth Conference on Machine Translation, pages 862–870, Miami, Florida, USA. Association for Computational Linguistics.