DiDi’s Machine Translation System for WMT2020
Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight
Abstract
This paper describes the DiDi AI Labs’ submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese->English. In this direction, we use the Transformer as our baseline model and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese->English.- Anthology ID:
- 2020.wmt-1.7
- 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:
- 105–112
- Language:
- URL:
- https://aclanthology.org/2020.wmt-1.7
- DOI:
- Bibkey:
- Cite (ACL):
- Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, and Kevin Knight. 2020. DiDi’s Machine Translation System for WMT2020. In Proceedings of the Fifth Conference on Machine Translation, pages 105–112, Online. Association for Computational Linguistics.
- Cite (Informal):
- DiDi’s Machine Translation System for WMT2020 (Chen et al., WMT 2020)
- Copy Citation:
- PDF:
- https://aclanthology.org/2020.wmt-1.7.pdf
- Video:
- https://slideslive.com/38939543
Export citation
@inproceedings{chen-etal-2020-didis, title = "{D}i{D}i{'}s Machine Translation System for {WMT}2020", author = "Chen, Tanfang and Wang, Weiwei and Wei, Wenyang and Shi, Xing and Li, Xiangang and Ye, Jieping and Knight, Kevin", 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-1.7", pages = "105--112", abstract = "This paper describes the DiDi AI Labs{'} submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese-{\textgreater}English. In this direction, we use the Transformer as our baseline model and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese-{\textgreater}English.", }
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%0 Conference Proceedings %T DiDi’s Machine Translation System for WMT2020 %A Chen, Tanfang %A Wang, Weiwei %A Wei, Wenyang %A Shi, Xing %A Li, Xiangang %A Ye, Jieping %A Knight, Kevin %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 chen-etal-2020-didis %X This paper describes the DiDi AI Labs’ submission to the WMT2020 news translation shared task. We participate in the translation direction of Chinese-\textgreaterEnglish. In this direction, we use the Transformer as our baseline model and integrate several techniques for model enhancement, including data filtering, data selection, back-translation, fine-tuning, model ensembling, and re-ranking. As a result, our submission achieves a BLEU score of 36.6 in Chinese-\textgreaterEnglish. %U https://aclanthology.org/2020.wmt-1.7 %P 105-112
Markdown (Informal)
[DiDi’s Machine Translation System for WMT2020](https://aclanthology.org/2020.wmt-1.7) (Chen et al., WMT 2020)
- DiDi’s Machine Translation System for WMT2020 (Chen et al., WMT 2020)
ACL
- Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, and Kevin Knight. 2020. DiDi’s Machine Translation System for WMT2020. In Proceedings of the Fifth Conference on Machine Translation, pages 105–112, Online. Association for Computational Linguistics.