Abstract
This paper is a brief summary of the First WMT Shared Task on Sign Language Translation (WMT-SLT22), a project partly funded by EAMT. The focus of this shared task is automatic translation between signed and spoken languages. Details can be found on our website1 or in the findings paper (Müller et al., 2022).
Original language | English |
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Title of host publication | Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023 |
Editors | Mary Nurminen, Mary Nurminen, Judith Brenner, Maarit Koponen, Sirkku Latomaa, Mikhail Mikhailov, Frederike Schierl, Tharindu Ranasinghe, Eva Vanmassenhove, Sergi Alvarez Vidal, Nora Aranberri, Mara Nunziatini, Carla Parra Escartin, Mikel Forcada, Maja Popovic, Carolina Scarton, Helena Moniz |
Publisher | European Association for Machine Translation |
Pages | 507-508 |
Number of pages | 2 |
ISBN (Electronic) | 9789520329471 |
State | Published - 2023 |
Event | 24th Annual Conference of the European Association for Machine Translation, EAMT 2023 - Tampere, Finland Duration: 12 Jun 2023 → 15 Jun 2023 |
Publication series
Name | Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023 |
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Conference
Conference | 24th Annual Conference of the European Association for Machine Translation, EAMT 2023 |
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Country/Territory | Finland |
City | Tampere |
Period | 12/06/23 → 15/06/23 |
Bibliographical note
Publisher Copyright:© 2023 The authors. This article is licensed under a Creative Commons 4.0 licence, no derivative works, attribution, CC-BY-ND.
Funding
The organizing committee further acknowledge 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 through the project So-cialWear (01IW20002). This shared task was funded by EAMT (through the call “Sponsorship of Activities”) and by Microsoft AI for Accessibility. We are grateful for their support which enabled us to provide test data, human evaluation and interpretation in International Sign during the WMT conference.
Funders | Funder number |
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SignON | 101017255 |
Microsoft AI | |
Bundesministerium für Bildung und Forschung | 01IW20002 |
Horizon 2020 | 101016982 |
Innosuisse - Schweizerische Agentur für Innovationsförderung | PFFS-21-47 |
European Association for Machine Translation |