@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",
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
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%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., 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.