Abstract
This paper presents the results of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23). This shared task is concerned with automatic translation between signed and spoken2 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.
Original language | English |
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Title of host publication | Proceedings of the 8th Conference on Machine Translation, WMT 2023 |
Publisher | Association for Computational Linguistics |
Pages | 68-94 |
Number of pages | 27 |
ISBN (Electronic) | 9798891760417 |
State | Published - 2023 |
Event | 8th Conference on Machine Translation, WMT 2023 - Singapore, Singapore Duration: 6 Dec 2023 → 7 Dec 2023 |
Publication series
Name | Conference on Machine Translation - Proceedings |
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ISSN (Electronic) | 2768-0983 |
Conference
Conference | 8th Conference on Machine Translation, WMT 2023 |
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Country/Territory | Singapore |
City | Singapore |
Period | 6/12/23 → 7/12/23 |
Bibliographical note
Publisher Copyright:© 2023 Association for Computational Linguistics.
Funding
The organizing committee acknowledges funding from the following projects: the EU Horizon 2020 projects EASIER (grant agreement number 101016982) and SignON (101017255), the Swiss Innovation Agency (Innosuisse) flagship IICT (PFFS-21-47) and the German Ministry of Education and Research (BMBF) through the project SocialWear (01IW20002).
Funders | Funder number |
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SignON | 101017255 |
Bundesministerium für Bildung und Forschung | 01IW20002 |
Horizon 2020 | 101016982 |
Innosuisse - Schweizerische Agentur für Innovationsförderung | PFFS-21-47 |