The NiuTrans Machine Translation System for WMT18
Qiang Wang, Bei Li, Jiqiang Liu, Bojian Jiang, Zheyang Zhang, Yinqiao Li, Ye Lin, Tong Xiao, Jingbo Zhu
Abstract
This paper describes the submission of the NiuTrans neural machine translation system for the WMT 2018 Chinese ↔ English news translation tasks. Our baseline systems are based on the Transformer architecture. We further improve the translation performance 2.4-2.6 BLEU points from four aspects, including architectural improvements, diverse ensemble decoding, reranking, and post-processing. Among constrained submissions, we rank 2nd out of 16 submitted systems on Chinese → English task and 3rd out of 16 on English → Chinese task, respectively.- Anthology ID:
- W18-6430
- Volume:
- Proceedings of the Third Conference on Machine Translation: Shared Task Papers
- Month:
- October
- Year:
- 2018
- Address:
- Belgium, Brussels
- Editors:
- Ondřej Bojar, Rajen Chatterjee, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno Yepes, Philipp Koehn, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana Neves, Matt Post, Lucia Specia, Marco Turchi, Karin Verspoor
- Venue:
- WMT
- SIG:
- SIGMT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 528–534
- Language:
- URL:
- https://aclanthology.org/W18-6430
- DOI:
- 10.18653/v1/W18-6430
- Bibkey:
- Cite (ACL):
- Qiang Wang, Bei Li, Jiqiang Liu, Bojian Jiang, Zheyang Zhang, Yinqiao Li, Ye Lin, Tong Xiao, and Jingbo Zhu. 2018. The NiuTrans Machine Translation System for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 528–534, Belgium, Brussels. Association for Computational Linguistics.
- Cite (Informal):
- The NiuTrans Machine Translation System for WMT18 (Wang et al., WMT 2018)
- Copy Citation:
- PDF:
- https://aclanthology.org/W18-6430.pdf
Export citation
@inproceedings{wang-etal-2018-niutrans,
title = "The {N}iu{T}rans Machine Translation System for {WMT}18",
author = "Wang, Qiang and
Li, Bei and
Liu, Jiqiang and
Jiang, Bojian and
Zhang, Zheyang and
Li, Yinqiao and
Lin, Ye and
Xiao, Tong and
Zhu, Jingbo",
editor = "Bojar, Ond{\v{r}}ej and
Chatterjee, Rajen and
Federmann, Christian and
Fishel, Mark and
Graham, Yvette and
Haddow, Barry and
Huck, Matthias and
Yepes, Antonio Jimeno and
Koehn, Philipp and
Monz, Christof and
Negri, Matteo and
N{\'e}v{\'e}ol, Aur{\'e}lie and
Neves, Mariana and
Post, Matt and
Specia, Lucia and
Turchi, Marco and
Verspoor, Karin",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6430",
doi = "10.18653/v1/W18-6430",
pages = "528--534",
abstract = "This paper describes the submission of the NiuTrans neural machine translation system for the WMT 2018 Chinese ↔ English news translation tasks. Our baseline systems are based on the Transformer architecture. We further improve the translation performance 2.4-2.6 BLEU points from four aspects, including architectural improvements, diverse ensemble decoding, reranking, and post-processing. Among constrained submissions, we rank 2nd out of 16 submitted systems on Chinese → English task and 3rd out of 16 on English → Chinese task, respectively.",
}
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<abstract>This paper describes the submission of the NiuTrans neural machine translation system for the WMT 2018 Chinese ↔ English news translation tasks. Our baseline systems are based on the Transformer architecture. We further improve the translation performance 2.4-2.6 BLEU points from four aspects, including architectural improvements, diverse ensemble decoding, reranking, and post-processing. Among constrained submissions, we rank 2nd out of 16 submitted systems on Chinese → English task and 3rd out of 16 on English → Chinese task, respectively.</abstract>
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%0 Conference Proceedings %T The NiuTrans Machine Translation System for WMT18 %A Wang, Qiang %A Li, Bei %A Liu, Jiqiang %A Jiang, Bojian %A Zhang, Zheyang %A Li, Yinqiao %A Lin, Ye %A Xiao, Tong %A Zhu, Jingbo %Y Bojar, Ondřej %Y Chatterjee, Rajen %Y Federmann, Christian %Y Fishel, Mark %Y Graham, Yvette %Y Haddow, Barry %Y Huck, Matthias %Y Yepes, Antonio Jimeno %Y Koehn, Philipp %Y Monz, Christof %Y Negri, Matteo %Y Névéol, Aurélie %Y Neves, Mariana %Y Post, Matt %Y Specia, Lucia %Y Turchi, Marco %Y Verspoor, Karin %S Proceedings of the Third Conference on Machine Translation: Shared Task Papers %D 2018 %8 October %I Association for Computational Linguistics %C Belgium, Brussels %F wang-etal-2018-niutrans %X This paper describes the submission of the NiuTrans neural machine translation system for the WMT 2018 Chinese ↔ English news translation tasks. Our baseline systems are based on the Transformer architecture. We further improve the translation performance 2.4-2.6 BLEU points from four aspects, including architectural improvements, diverse ensemble decoding, reranking, and post-processing. Among constrained submissions, we rank 2nd out of 16 submitted systems on Chinese → English task and 3rd out of 16 on English → Chinese task, respectively. %R 10.18653/v1/W18-6430 %U https://aclanthology.org/W18-6430 %U https://doi.org/10.18653/v1/W18-6430 %P 528-534
Markdown (Informal)
[The NiuTrans Machine Translation System for WMT18](https://aclanthology.org/W18-6430) (Wang et al., WMT 2018)
- The NiuTrans Machine Translation System for WMT18 (Wang et al., WMT 2018)
ACL
- Qiang Wang, Bei Li, Jiqiang Liu, Bojian Jiang, Zheyang Zhang, Yinqiao Li, Ye Lin, Tong Xiao, and Jingbo Zhu. 2018. The NiuTrans Machine Translation System for WMT18. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 528–534, Belgium, Brussels. Association for Computational Linguistics.