@inproceedings{kocmi-etal-2023-findings,
title = "Findings of the 2023 Conference on Machine Translation ({WMT}23): {LLM}s Are Here but Not Quite There Yet",
author = "Kocmi, Tom and
Avramidis, Eleftherios and
Bawden, Rachel and
Bojar, Ond{\v{r}}ej and
Dvorkovich, Anton and
Federmann, Christian and
Fishel, Mark and
Freitag, Markus and
Gowda, Thamme and
Grundkiewicz, Roman and
Haddow, Barry and
Koehn, Philipp and
Marie, Benjamin and
Monz, Christof and
Morishita, Makoto and
Murray, Kenton and
Nagata, Makoto and
Nakazawa, Toshiaki and
Popel, Martin and
Popovi{\'c}, Maja and
Shmatova, Mariya",
editor = "Koehn, Philipp and
Haddow, Barry and
Kocmi, Tom and
Monz, Christof",
booktitle = "Proceedings of the Eighth Conference on Machine Translation",
month = dec,
year = "2023",
address = "Singapore",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.wmt-1.1",
doi = "10.18653/v1/2023.wmt-1.1",
pages = "1--42",
abstract = "This paper presents the results of the General Machine Translation Task organised as part of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 8 language pairs (corresponding to 14 translation directions), to be evaluated on test sets consisting of up to four different domains. We evaluate system outputs with professional human annotators using a combination of source-based Direct Assessment and scalar quality metric (DA+SQM).",
}
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<abstract>This paper presents the results of the General Machine Translation Task organised as part of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 8 language pairs (corresponding to 14 translation directions), to be evaluated on test sets consisting of up to four different domains. We evaluate system outputs with professional human annotators using a combination of source-based Direct Assessment and scalar quality metric (DA+SQM).</abstract>
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%0 Conference Proceedings
%T Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet
%A Kocmi, Tom
%A Avramidis, Eleftherios
%A Bawden, Rachel
%A Bojar, Ondřej
%A Dvorkovich, Anton
%A Federmann, Christian
%A Fishel, Mark
%A Freitag, Markus
%A Gowda, Thamme
%A Grundkiewicz, Roman
%A Haddow, Barry
%A Koehn, Philipp
%A Marie, Benjamin
%A Monz, Christof
%A Morishita, Makoto
%A Murray, Kenton
%A Nagata, Makoto
%A Nakazawa, Toshiaki
%A Popel, Martin
%A Popović, Maja
%A Shmatova, Mariya
%Y Koehn, Philipp
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Monz, Christof
%S Proceedings of the Eighth Conference on Machine Translation
%D 2023
%8 December
%I Association for Computational Linguistics
%C Singapore
%F kocmi-etal-2023-findings
%X This paper presents the results of the General Machine Translation Task organised as part of the 2023 Conference on Machine Translation (WMT). In the general MT task, participants were asked to build machine translation systems for any of 8 language pairs (corresponding to 14 translation directions), to be evaluated on test sets consisting of up to four different domains. We evaluate system outputs with professional human annotators using a combination of source-based Direct Assessment and scalar quality metric (DA+SQM).
%R 10.18653/v1/2023.wmt-1.1
%U https://aclanthology.org/2023.wmt-1.1
%U https://doi.org/10.18653/v1/2023.wmt-1.1
%P 1-42
Markdown (Informal)
[Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet](https://aclanthology.org/2023.wmt-1.1) (Kocmi et al., WMT 2023)
ACL
- Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondřej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Philipp Koehn, Benjamin Marie, Christof Monz, Makoto Morishita, Kenton Murray, Makoto Nagata, Toshiaki Nakazawa, Martin Popel, et al.. 2023. Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. In Proceedings of the Eighth Conference on Machine Translation, pages 1–42, Singapore. Association for Computational Linguistics.