97 citations · 233 across the 33 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 7 cited
Sharing Attention Weights for Fast Transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu +2
Recently, the Transformer machine translation system has shown strong results by stacking attention layers on both the source and target-language sides. But the inference of this m…
cs.CL2019★ 6 cited
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Yang Liu +3
Word embedding is central to neural machine translation (NMT), which has attracted intensive research interest in recent years. In NMT, the source embedding plays the role of the e…
cs.CL2019★ 97 cited
Learning Deep Transformer Models for Machine Translation
Qiang Wang, Bei Li, Tong Xiao +4
Transformer is the state-of-the-art model in recent machine translation evaluations. Two strands of research are promising to improve models of this kind: the first uses wide netwo…