First WMT Shared Task on Sign Language Translation (WMT-SLT22)

Mathias Müller, Sarah Ebling, Eleftherios Avramidis, Alessia Battisti, Michèle Berger, Richard Bowden, Annelies Braffort, Necati Cihan Camgöz, Cristina España-Bonet, Roman Grundkiewicz, Zifan Jiang, Oscar Koller, Amit Moryossef, Dimitar Shterionov, Regula Perrollaz, Sandra Sidler-Miserez, Sabine Reinhard, Katja Tissi, Annette Rios, Davy Van Landuyt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

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 languageEnglish
Title of host publicationProceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023
EditorsMary 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
PublisherEuropean Association for Machine Translation
Pages507-508
Number of pages2
ISBN (Electronic)9789520329471
StatePublished - 2023
Event24th Annual Conference of the European Association for Machine Translation, EAMT 2023 - Tampere, Finland
Duration: 12 Jun 202315 Jun 2023

Publication series

NameProceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023

Conference

Conference24th Annual Conference of the European Association for Machine Translation, EAMT 2023
Country/TerritoryFinland
CityTampere
Period12/06/2315/06/23

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.

FundersFunder number
SignON101017255
Microsoft AI
Bundesministerium für Bildung und Forschung01IW20002
Horizon 2020101016982
Innosuisse - Schweizerische Agentur für InnovationsförderungPFFS-21-47
European Association for Machine Translation

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