Findings of the WMT 2021 Shared Task on Efficient Translation

Kenneth Heafield; Qianqian Zhu; Roman Grundkiewicz

Findings of the WMT 2021 Shared Task on Efficient Translation

Kenneth Heafield, Qianqian Zhu, Roman Grundkiewicz

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Abstract

The machine translation efficiency task challenges participants to make their systems faster and smaller with minimal impact on translation quality. How much quality to sacrifice for efficiency depends upon the application, so participants were encouraged to make multiple submissions covering the space of trade-offs. In total, there were 53 submissions by 4 teams. There were GPU, single-core CPU, and multi-core CPU hardware tracks as well as batched throughput or single-sentence latency conditions. Submissions showed hundreds of millions of words can be translated for a dollar, average latency is 5–17 ms, and models fit in 7.5–150 MB.

Anthology ID:: 2021.wmt-1.68
Volume:: Proceedings of the Sixth Conference on Machine Translation
Month:: November
Year:: 2021
Address:: Online
Editors:: Loic Barrault, Ondrej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussa, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Tom Kocmi, Andre Martins, Makoto Morishita, Christof Monz
Venue:: WMT
SIG:: SIGMT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 639–651
Language:
URL:: https://aclanthology.org/2021.wmt-1.68/
DOI:
Bibkey:
Cite (ACL):: Kenneth Heafield, Qianqian Zhu, and Roman Grundkiewicz. 2021. Findings of the WMT 2021 Shared Task on Efficient Translation. In Proceedings of the Sixth Conference on Machine Translation, pages 639–651, Online. Association for Computational Linguistics.
Cite (Informal):: Findings of the WMT 2021 Shared Task on Efficient Translation (Heafield et al., WMT 2021)
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PDF:: https://aclanthology.org/2021.wmt-1.68.pdf
Software:: 2021.wmt-1.68.Software.zip

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@inproceedings{heafield-etal-2021-findings,
    title = "Findings of the {WMT} 2021 Shared Task on Efficient Translation",
    author = "Heafield, Kenneth  and
      Zhu, Qianqian  and
      Grundkiewicz, Roman",
    editor = "Barrault, Loic  and
      Bojar, Ondrej  and
      Bougares, Fethi  and
      Chatterjee, Rajen  and
      Costa-jussa, Marta R.  and
      Federmann, Christian  and
      Fishel, Mark  and
      Fraser, Alexander  and
      Freitag, Markus  and
      Graham, Yvette  and
      Grundkiewicz, Roman  and
      Guzman, Paco  and
      Haddow, Barry  and
      Huck, Matthias  and
      Yepes, Antonio Jimeno  and
      Koehn, Philipp  and
      Kocmi, Tom  and
      Martins, Andre  and
      Morishita, Makoto  and
      Monz, Christof",
    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-1.68/",
    pages = "639--651",
    abstract = "The machine translation efficiency task challenges participants to make their systems faster and smaller with minimal impact on translation quality. How much quality to sacrifice for efficiency depends upon the application, so participants were encouraged to make multiple submissions covering the space of trade-offs. In total, there were 53 submissions by 4 teams. There were GPU, single-core CPU, and multi-core CPU hardware tracks as well as batched throughput or single-sentence latency conditions. Submissions showed hundreds of millions of words can be translated for a dollar, average latency is 5{--}17 ms, and models fit in 7.5{--}150 MB."
}

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%0 Conference Proceedings
%T Findings of the WMT 2021 Shared Task on Efficient Translation
%A Heafield, Kenneth
%A Zhu, Qianqian
%A Grundkiewicz, Roman
%Y Barrault, Loic
%Y Bojar, Ondrej
%Y Bougares, Fethi
%Y Chatterjee, Rajen
%Y Costa-jussa, Marta R.
%Y Federmann, Christian
%Y Fishel, Mark
%Y Fraser, Alexander
%Y Freitag, Markus
%Y Graham, Yvette
%Y Grundkiewicz, Roman
%Y Guzman, Paco
%Y Haddow, Barry
%Y Huck, Matthias
%Y Yepes, Antonio Jimeno
%Y Koehn, Philipp
%Y Kocmi, Tom
%Y Martins, Andre
%Y Morishita, Makoto
%Y Monz, Christof
%S Proceedings of the Sixth Conference on Machine Translation
%D 2021
%8 November
%I Association for Computational Linguistics
%C Online
%F heafield-etal-2021-findings
%X The machine translation efficiency task challenges participants to make their systems faster and smaller with minimal impact on translation quality. How much quality to sacrifice for efficiency depends upon the application, so participants were encouraged to make multiple submissions covering the space of trade-offs. In total, there were 53 submissions by 4 teams. There were GPU, single-core CPU, and multi-core CPU hardware tracks as well as batched throughput or single-sentence latency conditions. Submissions showed hundreds of millions of words can be translated for a dollar, average latency is 5–17 ms, and models fit in 7.5–150 MB.
%U https://aclanthology.org/2021.wmt-1.68/
%P 639-651

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Markdown (Informal)

[Findings of the WMT 2021 Shared Task on Efficient Translation](https://aclanthology.org/2021.wmt-1.68/) (Heafield et al., WMT 2021)

Findings of the WMT 2021 Shared Task on Efficient Translation (Heafield et al., WMT 2021)

ACL

Kenneth Heafield, Qianqian Zhu, and Roman Grundkiewicz. 2021. Findings of the WMT 2021 Shared Task on Efficient Translation. In Proceedings of the Sixth Conference on Machine Translation, pages 639–651, Online. Association for Computational Linguistics.