Adelani, DI;
Alam, MMI;
Anastasopoulos, A;
Bhagia, A;
Costa-Jussà, MR;
Dodge, J;
Faisal, F;
... Wenzek, G; + view all
(2022)
Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages.
In:
Proceedings of the Seventh Conference on Machine Translation (WMT).
(pp. pp. 773-800).
Association for Computational Linguistics: Abu Dhabi, United Arab Emirates.
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Abstract
We present the results of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages. The shared task included both a data and a systems track, along with additional innovations, such as a focus on African languages and extensive human evaluation of submitted systems. We received 14 system submissions from 8 teams, as well as 6 data track contributions. We report a large progress in the quality of translation for African languages since the last iteration of this shared task: there is an increase of about 7.5 BLEU points across 72 language pairs, and the average BLEU scores went from 15.09 to 22.60.
Type: | Proceedings paper |
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Title: | Findings of the WMT'22 Shared Task on Large-Scale Machine Translation Evaluation for African Languages |
ISBN-13: | 9781959429296 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://aclanthology.org/2022.wmt-1.72/ |
Language: | English |
Additional information: | ACL materials are Copyright © 1963–2023 ACL; other materials are copyrighted by their respective copyright holders. Materials prior to 2016 here are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 International License. Permission is granted to make copies for the purposes of teaching and research. Materials published in or after 2016 are licensed on a Creative Commons Attribution 4.0 International License. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10172220 |
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