Abstract
This paper introduces WeChat’s participation in WMT 2022 shared biomedical translationtask on Chinese→English. Our systems are based on the Transformer(Vaswani et al., 2017),and use several different Transformer structures to improve the quality of translation. In our experiments, we employ data filtering, data generation, several variants of Transformer,fine-tuning and model ensemble. Our Chinese→English system, named Summer, achieves the highest BLEU score among all submissions.- Anthology ID:
- 2022.wmt-1.85
- 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:
- 920–924
- Language:
- URL:
- https://aclanthology.org/2022.wmt-1.85
- DOI:
- Bibkey:
- Cite (ACL):
- Ernan Li, Fandong Meng, and Jie Zhou. 2022. Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 920–924, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task (Li et al., WMT 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.wmt-1.85.pdf
Export citation
@inproceedings{li-etal-2022-summer,
title = "Summer: {W}e{C}hat Neural Machine Translation Systems for the {WMT}22 Biomedical Translation Task",
author = "Li, Ernan and
Meng, Fandong and
Zhou, Jie",
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-1.85",
pages = "920--924",
abstract = "This paper introduces WeChat{'}s participation in WMT 2022 shared biomedical translationtask on Chinese→English. Our systems are based on the Transformer(Vaswani et al., 2017),and use several different Transformer structures to improve the quality of translation. In our experiments, we employ data filtering, data generation, several variants of Transformer,fine-tuning and model ensemble. Our Chinese→English system, named Summer, achieves the highest BLEU score among all submissions.",
}
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%0 Conference Proceedings %T Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task %A Li, Ernan %A Meng, Fandong %A Zhou, Jie %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 li-etal-2022-summer %X This paper introduces WeChat’s participation in WMT 2022 shared biomedical translationtask on Chinese→English. Our systems are based on the Transformer(Vaswani et al., 2017),and use several different Transformer structures to improve the quality of translation. In our experiments, we employ data filtering, data generation, several variants of Transformer,fine-tuning and model ensemble. Our Chinese→English system, named Summer, achieves the highest BLEU score among all submissions. %U https://aclanthology.org/2022.wmt-1.85 %P 920-924
Markdown (Informal)
[Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task](https://aclanthology.org/2022.wmt-1.85) (Li et al., WMT 2022)
- Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task (Li et al., WMT 2022)
ACL
- Ernan Li, Fandong Meng, and Jie Zhou. 2022. Summer: WeChat Neural Machine Translation Systems for the WMT22 Biomedical Translation Task. In Proceedings of the Seventh Conference on Machine Translation (WMT), pages 920–924, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.