Findings of the 2021 Conference on Machine Translation (WMT21)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondřej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussa, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri
Abstract
This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021.In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories. The taskwas also opened up to additional test suites toprobe specific aspects of translation.- Anthology ID:
- 2021.wmt-1.1
- Volume:
- Proceedings of the Sixth Conference on Machine Translation
- Month:
- November
- Year:
- 2021
- Address:
- Online
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–88
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.1
- DOI:
- Bibkey:
- Cite (ACL):
- Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondřej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussa, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, et al.. 2021. Findings of the 2021 Conference on Machine Translation (WMT21). In Proceedings of the Sixth Conference on Machine Translation, pages 1–88, Online. Association for Computational Linguistics.
- Cite (Informal):
- Findings of the 2021 Conference on Machine Translation (WMT21) (Akhbardeh et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.1.pdf
- Data
- CCAligned, DOGC, FLORES-101, ParaCrawl, WMT 2020, WikiMatrix, caWaC
Export citation
@inproceedings{akhbardeh-etal-2021-findings,
title = "Findings of the 2021 Conference on Machine Translation ({WMT}21)",
author = "Akhbardeh, Farhad and
Arkhangorodsky, Arkady and
Biesialska, Magdalena and
Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Chaudhary, Vishrav and
Costa-jussa, Marta R. and
Espa{\~n}a-Bonet, Cristina and
Fan, Angela and
Federmann, Christian and
Freitag, Markus and
Graham, Yvette and
Grundkiewicz, Roman and
Haddow, Barry and
Harter, Leonie and
Heafield, Kenneth and
Homan, Christopher and
Huck, Matthias and
Amponsah-Kaakyire, Kwabena and
Kasai, Jungo and
Khashabi, Daniel and
Knight, Kevin and
Kocmi, Tom and
Koehn, Philipp and
Lourie, Nicholas and
Monz, Christof and
Morishita, Makoto and
Nagata, Masaaki and
Nagesh, Ajay and
Nakazawa, Toshiaki and
Negri, Matteo and
Pal, Santanu and
Tapo, Allahsera Auguste and
Turchi, Marco and
Vydrin, Valentin and
Zampieri, Marcos",
booktitle = "Proceedings of the Sixth Conference on Machine Translation",
month = nov,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.wmt-1.1",
pages = "1--88",
abstract = "This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021.In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories. The taskwas also opened up to additional test suites toprobe specific aspects of translation.",
}
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%0 Conference Proceedings %T Findings of the 2021 Conference on Machine Translation (WMT21) %A Akhbardeh, Farhad %A Arkhangorodsky, Arkady %A Biesialska, Magdalena %A Bojar, Ondřej %A Chatterjee, Rajen %A Chaudhary, Vishrav %A Costa-jussa, Marta R. %A España-Bonet, Cristina %A Fan, Angela %A Federmann, Christian %A Freitag, Markus %A Graham, Yvette %A Grundkiewicz, Roman %A Haddow, Barry %A Harter, Leonie %A Heafield, Kenneth %A Homan, Christopher %A Huck, Matthias %A Amponsah-Kaakyire, Kwabena %A Kasai, Jungo %A Khashabi, Daniel %A Knight, Kevin %A Kocmi, Tom %A Koehn, Philipp %A Lourie, Nicholas %A Monz, Christof %A Morishita, Makoto %A Nagata, Masaaki %A Nagesh, Ajay %A Nakazawa, Toshiaki %A Negri, Matteo %A Pal, Santanu %A Tapo, Allahsera Auguste %A Turchi, Marco %A Vydrin, Valentin %A Zampieri, Marcos %S Proceedings of the Sixth Conference on Machine Translation %D 2021 %8 November %I Association for Computational Linguistics %C Online %F akhbardeh-etal-2021-findings %X This paper presents the results of the newstranslation task, the multilingual low-resourcetranslation for Indo-European languages, thetriangular translation task, and the automaticpost-editing task organised as part of the Con-ference on Machine Translation (WMT) 2021.In the news task, participants were asked tobuild machine translation systems for any of10 language pairs, to be evaluated on test setsconsisting mainly of news stories. The taskwas also opened up to additional test suites toprobe specific aspects of translation. %U https://aclanthology.org/2021.wmt-1.1 %P 1-88
Markdown (Informal)
[Findings of the 2021 Conference on Machine Translation (WMT21)](https://aclanthology.org/2021.wmt-1.1) (Akhbardeh et al., WMT 2021)
- Findings of the 2021 Conference on Machine Translation (WMT21) (Akhbardeh et al., WMT 2021)
ACL
- Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondřej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussa, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, et al.. 2021. Findings of the 2021 Conference on Machine Translation (WMT21). In Proceedings of the Sixth Conference on Machine Translation, pages 1–88, Online. Association for Computational Linguistics.