372 citations · 862 across the 46 of their papers we have counts for
4 papers · 1 filter
Modeling Past and Future for Neural Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang +4
Existing neural machine translation systems do not explicitly model what has been translated and what has not during the decoding phase. To address this problem, we propose a novel…
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation
Bolin Wei, Shuai Lu, Lili Mou +4
This paper addresses the question: Why do neural dialog systems generate short and meaningless replies? We conjecture that, in a dialog system, an utterance may have multiple equal…
Dynamic Oracle for Neural Machine Translation in Decoding Phase
Zi-Yi Dou, Hao Zhou, Shu-Jian Huang +2
The past several years have witnessed the rapid progress of end-to-end Neural Machine Translation (NMT). However, there exists discrepancy between training and inference in NMT whe…
Chunk-Based Bi-Scale Decoder for Neural Machine Translation
Hao Zhou, Zhaopeng Tu, Shujian Huang +3
In typical neural machine translation~(NMT), the decoder generates a sentence word by word, packing all linguistic granularities in the same time-scale of RNN. In this paper, we pr…