ISTIC’s Triangular Machine Translation System for WMT2021
Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, You Pan
Correct Metadata for
Abstract
This paper describes the ISTIC’s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble.- Anthology ID:
- 2021.wmt-1.36
- 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:
- 320–324
- Language:
- URL:
- https://aclanthology.org/2021.wmt-1.36/
- DOI:
- Bibkey:
- Cite (ACL):
- Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, and You Pan. 2021. ISTIC’s Triangular Machine Translation System for WMT2021. In Proceedings of the Sixth Conference on Machine Translation, pages 320–324, Online. Association for Computational Linguistics.
- Cite (Informal):
- ISTIC’s Triangular Machine Translation System for WMT2021 (Guo et al., WMT 2021)
- Copy Citation:
- PDF:
- https://aclanthology.org/2021.wmt-1.36.pdf
Export citation
@inproceedings{guo-etal-2021-istics,
title = "{ISTIC}`s Triangular Machine Translation System for {WMT}2021",
author = "Guo, Hangcheng and
Liu, Wenbin and
He, Yanqing and
Lan, Tian and
Xu, Hongjiao and
Wu, Zhenfeng and
Pan, You",
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-1.36/",
pages = "320--324",
abstract = "This paper describes the ISTIC`s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT' 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble."
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%0 Conference Proceedings %T ISTIC‘s Triangular Machine Translation System for WMT2021 %A Guo, Hangcheng %A Liu, Wenbin %A He, Yanqing %A Lan, Tian %A Xu, Hongjiao %A Wu, Zhenfeng %A Pan, You %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 guo-etal-2021-istics %X This paper describes the ISTIC‘s submission to the Triangular Machine Translation Task of Russian-to-Chinese machine translation for WMT’ 2021. In order to fully utilize the provided corpora and promote the translation performance from Russian to Chinese, the pivot method is used in our system which pipelines the Russian-to-English translator and the English-to-Chinese translator to form a Russian-to-Chinese translator. Our system is based on the Transformer architecture and several effective strategies are adopted to improve the quality of translation, including corpus filtering, data pre-processing, system combination and model ensemble. %U https://aclanthology.org/2021.wmt-1.36/ %P 320-324
Markdown (Informal)
[ISTIC’s Triangular Machine Translation System for WMT2021](https://aclanthology.org/2021.wmt-1.36/) (Guo et al., WMT 2021)
- ISTIC’s Triangular Machine Translation System for WMT2021 (Guo et al., WMT 2021)
ACL
- Hangcheng Guo, Wenbin Liu, Yanqing He, Tian Lan, Hongjiao Xu, Zhenfeng Wu, and You Pan. 2021. ISTIC’s Triangular Machine Translation System for WMT2021. In Proceedings of the Sixth Conference on Machine Translation, pages 320–324, Online. Association for Computational Linguistics.