@inproceedings{neves-etal-2024-findings,
title = "Findings of the {WMT} 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level",
author = "Neves, Mariana and
Grozea, Cristian and
Thomas, Philippe and
Roller, Roland and
Bawden, Rachel and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Castle, Steffen and
Bonato, Vanessa and
Di Nunzio, Giorgio Maria and
Vezzani, Federica and
Vicente Navarro, Maika and
Yeganova, Lana and
Jimeno Yepes, Antonio",
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-1.6",
pages = "124--138",
abstract = "We present the results of the ninth edition of the Biomedical Translation Task at WMT{'}24. We released test sets for six language pairs, namely, French, German, Italian, Portuguese, Russian, and Spanish, from and into English. Eachtest set consists of 50 abstracts from PubMed. Differently from previous years, we did not split abstracts into sentences. We received submissions from five teams, and for almost all language directions. We used a baseline/comparison system based on Llama 3.1 and share the source code at https://github.com/cgrozea/wmt24biomed-ref.",
}
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<abstract>We present the results of the ninth edition of the Biomedical Translation Task at WMT’24. We released test sets for six language pairs, namely, French, German, Italian, Portuguese, Russian, and Spanish, from and into English. Eachtest set consists of 50 abstracts from PubMed. Differently from previous years, we did not split abstracts into sentences. We received submissions from five teams, and for almost all language directions. We used a baseline/comparison system based on Llama 3.1 and share the source code at https://github.com/cgrozea/wmt24biomed-ref.</abstract>
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%0 Conference Proceedings
%T Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level
%A Neves, Mariana
%A Grozea, Cristian
%A Thomas, Philippe
%A Roller, Roland
%A Bawden, Rachel
%A Névéol, Aurélie
%A Castle, Steffen
%A Bonato, Vanessa
%A Di Nunzio, Giorgio Maria
%A Vezzani, Federica
%A Vicente Navarro, Maika
%A Yeganova, Lana
%A Jimeno Yepes, Antonio
%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 neves-etal-2024-findings
%X We present the results of the ninth edition of the Biomedical Translation Task at WMT’24. We released test sets for six language pairs, namely, French, German, Italian, Portuguese, Russian, and Spanish, from and into English. Eachtest set consists of 50 abstracts from PubMed. Differently from previous years, we did not split abstracts into sentences. We received submissions from five teams, and for almost all language directions. We used a baseline/comparison system based on Llama 3.1 and share the source code at https://github.com/cgrozea/wmt24biomed-ref.
%U https://aclanthology.org/2024.wmt-1.6
%P 124-138
Markdown (Informal)
[Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level](https://aclanthology.org/2024.wmt-1.6) (Neves et al., WMT 2024)
ACL
- Mariana Neves, Cristian Grozea, Philippe Thomas, Roland Roller, Rachel Bawden, Aurélie Névéol, Steffen Castle, Vanessa Bonato, Giorgio Maria Di Nunzio, Federica Vezzani, Maika Vicente Navarro, Lana Yeganova, and Antonio Jimeno Yepes. 2024. Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level. In Proceedings of the Ninth Conference on Machine Translation, pages 124–138, Miami, Florida, USA. Association for Computational Linguistics.