activity
20172026
most citedSyntax-Directed Attention for Neural Machine Translation

57 citations · 189 across the 21 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.CL2019★ 3 cited

Explicit Sentence Compression for Neural Machine Translation

Zuchao Li, Rui Wang, Kehai Chen +4

State-of-the-art Transformer-based neural machine translation (NMT) systems still follow a standard encoder-decoder framework, in which source sentence representation can be well d…

cs.CL2019★ 2 cited

Probing Contextualized Sentence Representations with Visual Awareness

Zhuosheng Zhang, Rui Wang, Kehai Chen +3

We present a universal framework to model contextualized sentence representations with visual awareness that is motivated to overcome the shortcomings of the multimodal parallel da…

cs.CL2019

Document-level Neural Machine Translation with Associated Memory Network

Shu Jiang, Rui Wang, Zuchao Li +5

Standard neural machine translation (NMT) is on the assumption that the document-level context is independent. Most existing document-level NMT approaches are satisfied with a smat…

cs.CL2019★ 1 cited

Revisiting Simple Domain Adaptation Methods in Unsupervised Neural Machine Translation

Haipeng Sun, Rui Wang, Kehai Chen +4

Domain adaptation has been well-studied in supervised neural machine translation (SNMT). However, it has not been well-studied for unsupervised neural machine translation (UNMT), a…

cs.CL2019★ 9 cited

Lattice-Based Transformer Encoder for Neural Machine Translation

Fengshun Xiao, Jiangtong Li, Hai Zhao +2

Neural machine translation (NMT) takes deterministic sequences for source representations. However, either word-level or subword-level segmentations have multiple choices to split…