@inproceedings{muller-etal-2023-findings,
title = "Findings of the Second {WMT} Shared Task on Sign Language Translation ({WMT}-{SLT}23)",
author = {M{\"u}ller, Mathias and
Alikhani, Malihe and
Avramidis, Eleftherios and
Bowden, Richard and
Braffort, Annelies and
Cihan Camg{\"o}z, Necati and
Ebling, Sarah and
Espa{\~n}a-Bonet, Cristina and
G{\"o}hring, Anne and
Grundkiewicz, Roman and
Inan, Mert and
Jiang, Zifan and
Koller, Oscar and
Moryossef, Amit and
Rios, Annette and
Shterionov, Dimitar and
Sidler-Miserez, Sandra and
Tissi, Katja and
Van Landuyt, Davy},
editor = "Koehn, Philipp and
Haddow, Barry and
Kocmi, Tom and
Monz, Christof",
booktitle = "Proceedings of the Eighth Conference on Machine Translation",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.wmt-1.4",
doi = "10.18653/v1/2023.wmt-1.4",
pages = "68--94",
abstract = "This paper presents the results of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23; https://www.wmt-slt.com/). This shared task is concerned with automatic translation between signed and spoken languages. The task is unusual in the sense that it requires processing visual information (such as video frames or human pose estimation) beyond the well-known paradigm of text-to-text machine translation (MT). The task offers four tracks involving the following languages: Swiss German Sign Language (DSGS), French Sign Language of Switzerland (LSF-CH), Italian Sign Language of Switzerland (LIS-CH), German, French and Italian. Four teams (including one working on a baseline submission) participated in this second edition of the task, all submitting to the DSGS-to-German track. Besides a system ranking and system papers describing state-of-the-art techniques, this shared task makes the following scientific contributions: novel corpora and reproducible baseline systems. Finally, the task also resulted in publicly available sets of system outputs and more human evaluation scores for sign language translation.",
}
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<abstract>This paper presents the results of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23; https://www.wmt-slt.com/). This shared task is concerned with automatic translation between signed and spoken languages. The task is unusual in the sense that it requires processing visual information (such as video frames or human pose estimation) beyond the well-known paradigm of text-to-text machine translation (MT). The task offers four tracks involving the following languages: Swiss German Sign Language (DSGS), French Sign Language of Switzerland (LSF-CH), Italian Sign Language of Switzerland (LIS-CH), German, French and Italian. Four teams (including one working on a baseline submission) participated in this second edition of the task, all submitting to the DSGS-to-German track. Besides a system ranking and system papers describing state-of-the-art techniques, this shared task makes the following scientific contributions: novel corpora and reproducible baseline systems. Finally, the task also resulted in publicly available sets of system outputs and more human evaluation scores for sign language translation.</abstract>
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%0 Conference Proceedings
%T Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)
%A Müller, Mathias
%A Alikhani, Malihe
%A Avramidis, Eleftherios
%A Bowden, Richard
%A Braffort, Annelies
%A Cihan Camgöz, Necati
%A Ebling, Sarah
%A España-Bonet, Cristina
%A Göhring, Anne
%A Grundkiewicz, Roman
%A Inan, Mert
%A Jiang, Zifan
%A Koller, Oscar
%A Moryossef, Amit
%A Rios, Annette
%A Shterionov, Dimitar
%A Sidler-Miserez, Sandra
%A Tissi, Katja
%A Van Landuyt, Davy
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F muller-etal-2023-findings
%X This paper presents the results of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23; https://www.wmt-slt.com/). This shared task is concerned with automatic translation between signed and spoken languages. The task is unusual in the sense that it requires processing visual information (such as video frames or human pose estimation) beyond the well-known paradigm of text-to-text machine translation (MT). The task offers four tracks involving the following languages: Swiss German Sign Language (DSGS), French Sign Language of Switzerland (LSF-CH), Italian Sign Language of Switzerland (LIS-CH), German, French and Italian. Four teams (including one working on a baseline submission) participated in this second edition of the task, all submitting to the DSGS-to-German track. Besides a system ranking and system papers describing state-of-the-art techniques, this shared task makes the following scientific contributions: novel corpora and reproducible baseline systems. Finally, the task also resulted in publicly available sets of system outputs and more human evaluation scores for sign language translation.
%R 10.18653/v1/2023.wmt-1.4
%U https://aclanthology.org/2023.wmt-1.4
%U https://doi.org/10.18653/v1/2023.wmt-1.4
%P 68-94
Markdown (Informal)
[Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)](https://aclanthology.org/2023.wmt-1.4) (Müller et al., WMT 2023)
ACL
- Mathias Müller, Malihe Alikhani, Eleftherios Avramidis, Richard Bowden, Annelies Braffort, Necati Cihan Camgöz, Sarah Ebling, Cristina España-Bonet, Anne Göhring, Roman Grundkiewicz, Mert Inan, Zifan Jiang, Oscar Koller, Amit Moryossef, Annette Rios, Dimitar Shterionov, Sandra Sidler-Miserez, Katja Tissi, and Davy Van Landuyt. 2023. Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23). In Proceedings of the Eighth Conference on Machine Translation, pages 68–94, Singapore. Association for Computational Linguistics.