HW-TSC’s Participation in the WMT 2020 News Translation Shared Task
Daimeng Wei, Hengchao Shang, Zhanglin Wu, Zhengzhe Yu, Liangyou Li, Jiaxin Guo, Minghan Wang, Hao Yang, Lizhi Lei, Ying Qin, Shiliang Sun
Abstract
This paper presents our work in the WMT 2020 News Translation Shared Task. We participate in 3 language pairs including Zh/En, Km/En, and Ps/En and in both directions under the constrained condition. We use the standard Transformer-Big model as the baseline and obtain the best performance via two variants with larger parameter sizes. We perform detailed pre-processing and filtering on the provided large-scale bilingual and monolingual dataset. Several commonly used strategies are used to train our models such as Back Translation, Ensemble Knowledge Distillation, etc. We also conduct experiment with similar language augmentation, which lead to positive results, although not used in our submission. Our submission obtains remarkable results in the final evaluation.- Anthology ID:
- 2020.wmt-1.31
- Volume:
- Proceedings of the Fifth Conference on Machine Translation
- Month:
- November
- Year:
- 2020
- Address:
- Online
- Editors:
- Loïc Barrault, Ondřej Bojar, Fethi Bougares, Rajen Chatterjee, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Alexander Fraser, Yvette Graham, Paco Guzman, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, André Martins, Makoto Morishita, Christof Monz, Masaaki Nagata, Toshiaki Nakazawa, Matteo Negri
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 293–299
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.31
- DOI:
- Bibkey:
- Cite (ACL):
- Daimeng Wei, Hengchao Shang, Zhanglin Wu, Zhengzhe Yu, Liangyou Li, Jiaxin Guo, Minghan Wang, Hao Yang, Lizhi Lei, Ying Qin, and Shiliang Sun. 2020. HW-TSC’s Participation in the WMT 2020 News Translation Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 293–299, Online. Association for Computational Linguistics.
- Cite (Informal):
- HW-TSC’s Participation in the WMT 2020 News Translation Shared Task (Wei et al., WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.31.pdf
- Video:
- https://slideslive.com/38939573
Export citation
@inproceedings{wei-etal-2020-hw,
title = "{HW}-{TSC}{'}s Participation in the {WMT} 2020 News Translation Shared Task",
author = "Wei, Daimeng and
Shang, Hengchao and
Wu, Zhanglin and
Yu, Zhengzhe and
Li, Liangyou and
Guo, Jiaxin and
Wang, Minghan and
Yang, Hao and
Lei, Lizhi and
Qin, Ying and
Sun, Shiliang",
editor = {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
Graham, Yvette and
Guzman, Paco and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Martins, Andr{\'e} and
Morishita, Makoto and
Monz, Christof and
Nagata, Masaaki and
Nakazawa, Toshiaki and
Negri, Matteo},
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.wmt-1.31",
pages = "293--299",
abstract = "This paper presents our work in the WMT 2020 News Translation Shared Task. We participate in 3 language pairs including Zh/En, Km/En, and Ps/En and in both directions under the constrained condition. We use the standard Transformer-Big model as the baseline and obtain the best performance via two variants with larger parameter sizes. We perform detailed pre-processing and filtering on the provided large-scale bilingual and monolingual dataset. Several commonly used strategies are used to train our models such as Back Translation, Ensemble Knowledge Distillation, etc. We also conduct experiment with similar language augmentation, which lead to positive results, although not used in our submission. Our submission obtains remarkable results in the final evaluation.",
}
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%0 Conference Proceedings %T HW-TSC’s Participation in the WMT 2020 News Translation Shared Task %A Wei, Daimeng %A Shang, Hengchao %A Wu, Zhanglin %A Yu, Zhengzhe %A Li, Liangyou %A Guo, Jiaxin %A Wang, Minghan %A Yang, Hao %A Lei, Lizhi %A Qin, Ying %A Sun, Shiliang %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 Graham, Yvette %Y Guzman, Paco %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Martins, André %Y Morishita, Makoto %Y Monz, Christof %Y Nagata, Masaaki %Y Nakazawa, Toshiaki %Y Negri, Matteo %S Proceedings of the Fifth Conference on Machine Translation %D 2020 %8 November %I Association for Computational Linguistics %C Online %F wei-etal-2020-hw %X This paper presents our work in the WMT 2020 News Translation Shared Task. We participate in 3 language pairs including Zh/En, Km/En, and Ps/En and in both directions under the constrained condition. We use the standard Transformer-Big model as the baseline and obtain the best performance via two variants with larger parameter sizes. We perform detailed pre-processing and filtering on the provided large-scale bilingual and monolingual dataset. Several commonly used strategies are used to train our models such as Back Translation, Ensemble Knowledge Distillation, etc. We also conduct experiment with similar language augmentation, which lead to positive results, although not used in our submission. Our submission obtains remarkable results in the final evaluation. %U https://aclanthology.org/2020.wmt-1.31 %P 293-299
Markdown (Informal)
[HW-TSC’s Participation in the WMT 2020 News Translation Shared Task](https://aclanthology.org/2020.wmt-1.31) (Wei et al., WMT 2020)
- HW-TSC’s Participation in the WMT 2020 News Translation Shared Task (Wei et al., WMT 2020)
ACL
- Daimeng Wei, Hengchao Shang, Zhanglin Wu, Zhengzhe Yu, Liangyou Li, Jiaxin Guo, Minghan Wang, Hao Yang, Lizhi Lei, Ying Qin, and Shiliang Sun. 2020. HW-TSC’s Participation in the WMT 2020 News Translation Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 293–299, Online. Association for Computational Linguistics.