Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions
Vivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, Ekaterina Lapshinova-koltunski, Sergei Bagdasarov, Sebastian Möller
Abstract
This document describes a fine-grained linguistically motivated analysis of 29 machine translation systems submitted at the Shared Task of the 7th Conference of Machine Translation (WMT22). This submission expands the test suite work of previous years by adding the language direction of English–Russian. As a result, evaluation takes place for the language directions of German–English, English–German, and English–Russian. We find that the German–English systems suffer in translating idioms, some tenses of modal verbs, and resultative predicates, the English–German ones in idioms, transitive-past progressive, and middle voice, whereas the English–Russian ones in pseudogapping and idioms.- Anthology ID:
- 2022.wmt-1.40
- Volume:
- Proceedings of the Seventh Conference on Machine Translation (WMT)
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates (Hybrid)
- Editors:
- Philipp Koehn, Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Tom Kocmi, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri, Aurélie Névéol, Mariana Neves, Martin Popel, Marco Turchi, Marcos Zampieri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 432–449
- Language:
- URL:
- https://aclanthology.org/2022.wmt-1.40
- DOI:
- Bibkey:
- Cite (ACL):
- Vivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, Ekaterina Lapshinova-koltunski, Sergei Bagdasarov, and Sebastian Möller. 2022. Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 432–449, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions (Macketanz et al., WMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.wmt-1.40.pdf
Export citation
@inproceedings{macketanz-etal-2022-linguistically-motivated,
title = "Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions",
author = {Macketanz, Vivien and
Manakhimova, Shushen and
Avramidis, Eleftherios and
Lapshinova-koltunski, Ekaterina and
Bagdasarov, Sergei and
M{\"o}ller, Sebastian},
editor = {Koehn, Philipp and
Barrault, Lo{\"\i}c and
Bojar, Ond{\v{r}}ej and
Bougares, Fethi and
Chatterjee, Rajen and
Costa-juss{\`a}, 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
Jimeno Yepes, Antonio and
Kocmi, Tom and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Popel, Martin and
Turchi, Marco and
Zampieri, Marcos},
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-1.40",
pages = "432--449",
abstract = "This document describes a fine-grained linguistically motivated analysis of 29 machine translation systems submitted at the Shared Task of the 7th Conference of Machine Translation (WMT22). This submission expands the test suite work of previous years by adding the language direction of English{--}Russian. As a result, evaluation takes place for the language directions of German{--}English, English{--}German, and English{--}Russian. We find that the German{--}English systems suffer in translating idioms, some tenses of modal verbs, and resultative predicates, the English{--}German ones in idioms, transitive-past progressive, and middle voice, whereas the English{--}Russian ones in pseudogapping and idioms.",
}
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%0 Conference Proceedings %T Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions %A Macketanz, Vivien %A Manakhimova, Shushen %A Avramidis, Eleftherios %A Lapshinova-koltunski, Ekaterina %A Bagdasarov, Sergei %A Möller, Sebastian %Y Koehn, Philipp %Y Barrault, Loïc %Y Bojar, Ondřej %Y Bougares, Fethi %Y Chatterjee, Rajen %Y Costa-jussà, 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 Jimeno Yepes, Antonio %Y Kocmi, Tom %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Popel, Martin %Y Turchi, Marco %Y Zampieri, Marcos %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 macketanz-etal-2022-linguistically-motivated %X This document describes a fine-grained linguistically motivated analysis of 29 machine translation systems submitted at the Shared Task of the 7th Conference of Machine Translation (WMT22). This submission expands the test suite work of previous years by adding the language direction of English–Russian. As a result, evaluation takes place for the language directions of German–English, English–German, and English–Russian. We find that the German–English systems suffer in translating idioms, some tenses of modal verbs, and resultative predicates, the English–German ones in idioms, transitive-past progressive, and middle voice, whereas the English–Russian ones in pseudogapping and idioms. %U https://aclanthology.org/2022.wmt-1.40 %P 432-449
Markdown (Informal)
[Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions](https://aclanthology.org/2022.wmt-1.40) (Macketanz et al., WMT 2022)
- Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions (Macketanz et al., WMT 2022)
ACL
- Vivien Macketanz, Shushen Manakhimova, Eleftherios Avramidis, Ekaterina Lapshinova-koltunski, Sergei Bagdasarov, and Sebastian Möller. 2022. Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 432–449, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.