HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task
Hao Yang, Minghan Wang, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, Yimeng Chen
Abstract
The paper presents the submission by HW-TSC in the WMT 2020 Automatic Post Editing Shared Task. We participate in the English-German and English-Chinese language pairs. Our system is built based on the Transformer pre-trained on WMT 2019 and WMT 2020 News Translation corpora, and fine-tuned on the APE corpus. Bottleneck Adapter Layers are integrated into the model to prevent over-fitting. We further collect external translations as the augmented MT candidates to improve the performance. The experiment demonstrates that pre-trained NMT models are effective when fine-tuning with the APE corpus of a limited size, and the performance can be further improved with external MT augmentation. Our system achieves competitive results on both directions in the final evaluation.- Anthology ID:
- 2020.wmt-1.85
- 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:
- 797–802
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.85
- DOI:
- Bibkey:
- Cite (ACL):
- Hao Yang, Minghan Wang, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, and Yimeng Chen. 2020. HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 797–802, Online. Association for Computational Linguistics.
- Cite (Informal):
- HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task (Yang et al., WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.85.pdf
- Video:
- https://slideslive.com/38939570
- Data
- eSCAPE
Export citation
@inproceedings{yang-etal-2020-hw,
title = "{HW}-{TSC}{'}s Participation at {WMT} 2020 Automatic Post Editing Shared Task",
author = "Yang, Hao and
Wang, Minghan and
Wei, Daimeng and
Shang, Hengchao and
Guo, Jiaxin and
Li, Zongyao and
Lei, Lizhi and
Qin, Ying and
Tao, Shimin and
Sun, Shiliang and
Chen, Yimeng",
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-1.85",
pages = "797--802",
abstract = "The paper presents the submission by HW-TSC in the WMT 2020 Automatic Post Editing Shared Task. We participate in the English-German and English-Chinese language pairs. Our system is built based on the Transformer pre-trained on WMT 2019 and WMT 2020 News Translation corpora, and fine-tuned on the APE corpus. Bottleneck Adapter Layers are integrated into the model to prevent over-fitting. We further collect external translations as the augmented MT candidates to improve the performance. The experiment demonstrates that pre-trained NMT models are effective when fine-tuning with the APE corpus of a limited size, and the performance can be further improved with external MT augmentation. Our system achieves competitive results on both directions in the final evaluation.",
}
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%0 Conference Proceedings %T HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task %A Yang, Hao %A Wang, Minghan %A Wei, Daimeng %A Shang, Hengchao %A Guo, Jiaxin %A Li, Zongyao %A Lei, Lizhi %A Qin, Ying %A Tao, Shimin %A Sun, Shiliang %A Chen, Yimeng %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 yang-etal-2020-hw %X The paper presents the submission by HW-TSC in the WMT 2020 Automatic Post Editing Shared Task. We participate in the English-German and English-Chinese language pairs. Our system is built based on the Transformer pre-trained on WMT 2019 and WMT 2020 News Translation corpora, and fine-tuned on the APE corpus. Bottleneck Adapter Layers are integrated into the model to prevent over-fitting. We further collect external translations as the augmented MT candidates to improve the performance. The experiment demonstrates that pre-trained NMT models are effective when fine-tuning with the APE corpus of a limited size, and the performance can be further improved with external MT augmentation. Our system achieves competitive results on both directions in the final evaluation. %U https://aclanthology.org/2020.wmt-1.85 %P 797-802
Markdown (Informal)
[HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task](https://aclanthology.org/2020.wmt-1.85) (Yang et al., WMT 2020)
- HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task (Yang et al., WMT 2020)
ACL
- Hao Yang, Minghan Wang, Daimeng Wei, Hengchao Shang, Jiaxin Guo, Zongyao Li, Lizhi Lei, Ying Qin, Shimin Tao, Shiliang Sun, and Yimeng Chen. 2020. HW-TSC’s Participation at WMT 2020 Automatic Post Editing Shared Task. In Proceedings of the Fifth Conference on Machine Translation, pages 797–802, Online. Association for Computational Linguistics.