NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation

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The NiuTrans Machine Translation Systems for WMT19 (2019, methodology): “Our NiuTrans team participated in 13 WMT19 shared news translation tasks, including 11 supervised and 2 unsupervised sub-tracks.”
Learning Deep Transformer Models for Machine Translation (2019, methodology): “All the sentences are word segmented by the tool provided within NiuTrans (Xiao et al., 2012).”
Learning Light-Weight Translation Models from Deep Transformer (2020, methodology): “For Zh-En tasks, all the sentences were segmented by the tool provided within NiuTrans (Xiao et al. 2012).”
Sharing Attention Weights for Fast Transformer (2019, methodology): “For Chinese, all sentences were word segmented by the segmentation system in the NiuTrans toolkit [Xiao et al. , 2012].”
Multi-layer Representation Fusion for Neural Machine Translation (2018, methodology): “All Chinese sentences are word segmented using the tool provided within NiuTrans (Xiao et al., 2012).”