TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission
Ke Wang, Shuqin Gu, Boxing Chen, Yu Zhao, Weihua Luo, Yuqi Zhang
Correct Metadata for
Abstract
This paper describes our work in the WMT 2021 Machine Translation using Terminologies Shared Task. We participate in the shared translation terminologies task in English to Chinese language pair. To satisfy terminology constraints on translation, we use a terminology data augmentation strategy based on Transformer model. We used tags to mark and add the term translations into the matched sentences. We created synthetic terms using phrase tables extracted from bilingual corpus to increase the proportion of term translations in training data. Detailed pre-processing and filtering on data, in-domain finetuning and ensemble method are used in our system. Our submission obtains competitive results in the terminology-targeted evaluation.- Anthology ID:
- 2021.wmt-1.85
- 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:
- 851–856
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.85/
- DOI:
- Bibkey:
- Cite (ACL):
- Ke Wang, Shuqin Gu, Boxing Chen, Yu Zhao, Weihua Luo, and Yuqi Zhang. 2021. TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission. In Proceedings of the Sixth Conference on Machine Translation, pages 851–856, Online. Association for Computational Linguistics.
- Cite (Informal):
- TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission (Wang et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.85.pdf
Export citation
@inproceedings{wang-etal-2021-termmind,
title = "{T}erm{M}ind: {A}libaba`s {WMT}21 Machine Translation Using Terminologies Task Submission",
author = "Wang, Ke and
Gu, Shuqin and
Chen, Boxing and
Zhao, Yu and
Luo, Weihua and
Zhang, Yuqi",
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-1.85/",
pages = "851--856",
abstract = "This paper describes our work in the WMT 2021 Machine Translation using Terminologies Shared Task. We participate in the shared translation terminologies task in English to Chinese language pair. To satisfy terminology constraints on translation, we use a terminology data augmentation strategy based on Transformer model. We used tags to mark and add the term translations into the matched sentences. We created synthetic terms using phrase tables extracted from bilingual corpus to increase the proportion of term translations in training data. Detailed pre-processing and filtering on data, in-domain finetuning and ensemble method are used in our system. Our submission obtains competitive results in the terminology-targeted evaluation."
}
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%0 Conference Proceedings %T TermMind: Alibaba‘s WMT21 Machine Translation Using Terminologies Task Submission %A Wang, Ke %A Gu, Shuqin %A Chen, Boxing %A Zhao, Yu %A Luo, Weihua %A Zhang, Yuqi %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 wang-etal-2021-termmind %X This paper describes our work in the WMT 2021 Machine Translation using Terminologies Shared Task. We participate in the shared translation terminologies task in English to Chinese language pair. To satisfy terminology constraints on translation, we use a terminology data augmentation strategy based on Transformer model. We used tags to mark and add the term translations into the matched sentences. We created synthetic terms using phrase tables extracted from bilingual corpus to increase the proportion of term translations in training data. Detailed pre-processing and filtering on data, in-domain finetuning and ensemble method are used in our system. Our submission obtains competitive results in the terminology-targeted evaluation. %U https://aclanthology.org/2021.wmt-1.85/ %P 851-856
Markdown (Informal)
[TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission](https://aclanthology.org/2021.wmt-1.85/) (Wang et al., WMT 2021)
- TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission (Wang et al., WMT 2021)
ACL
- Ke Wang, Shuqin Gu, Boxing Chen, Yu Zhao, Weihua Luo, and Yuqi Zhang. 2021. TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission. In Proceedings of the Sixth Conference on Machine Translation, pages 851–856, Online. Association for Computational Linguistics.