@inproceedings{kocmi-etal-2022-findings,
title = "Findings of the 2022 Conference on Machine Translation ({WMT}22)",
author = "Kocmi, Tom and
Bawden, Rachel and
Bojar, Ond{\v{r}}ej and
Dvorkovich, Anton and
Federmann, Christian and
Fishel, Mark and
Gowda, Thamme and
Graham, Yvette and
Grundkiewicz, Roman and
Haddow, Barry and
Knowles, Rebecca and
Koehn, Philipp and
Monz, Christof and
Morishita, Makoto and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Nov{\'a}k, Michal and
Popel, Martin and
Popovi{\'c}, Maja",
booktitle = "Proceedings of the Seventh Conference on Machine Translation (WMT)",
month = dec,
year = "2022",
address = "Abu Dhabi, United Arab Emirates (Hybrid)",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.wmt-1.1",
pages = "1--45",
abstract = "This paper presents the results of the General Machine Translation Task organised as part of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of four different domains. We evaluate system outputs with human annotators using two different techniques: reference-based direct assessment and (DA) and a combination of DA and scalar quality metric (DA+SQM).",
}
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%0 Conference Proceedings
%T Findings of the 2022 Conference on Machine Translation (WMT22)
%A Kocmi, Tom
%A Bawden, Rachel
%A Bojar, Ondřej
%A Dvorkovich, Anton
%A Federmann, Christian
%A Fishel, Mark
%A Gowda, Thamme
%A Graham, Yvette
%A Grundkiewicz, Roman
%A Haddow, Barry
%A Knowles, Rebecca
%A Koehn, Philipp
%A Monz, Christof
%A Morishita, Makoto
%A Nagata, Masaaki
%A Nakazawa, Toshiaki
%A Novák, Michal
%A Popel, Martin
%A Popović, Maja
%S Proceedings of the Seventh Conference on Machine Translation (WMT)
%D 2022
%8 December
%I Association for Computational Linguistics
%C Abu Dhabi, United Arab Emirates (Hybrid)
%F kocmi-etal-2022-findings
%X This paper presents the results of the General Machine Translation Task organised as part of the Conference on Machine Translation (WMT) 2022. In the general MT task, participants were asked to build machine translation systems for any of 11 language pairs, to be evaluated on test sets consisting of four different domains. We evaluate system outputs with human annotators using two different techniques: reference-based direct assessment and (DA) and a combination of DA and scalar quality metric (DA+SQM).
%U https://aclanthology.org/2022.wmt-1.1
%P 1-45
Markdown (Informal)
[Findings of the 2022 Conference on Machine Translation (WMT22)](https://aclanthology.org/2022.wmt-1.1) (Kocmi et al., WMT 2022)
ACL
- Tom Kocmi, Rachel Bawden, Ondřej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, and Maja Popović. 2022. Findings of the 2022 Conference on Machine Translation (WMT22). In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 1–45, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.