325 citations · 1.4k across the 89 of their papers we have counts for
6 papers · 1 filter
Neural Machine Translation with Reconstruction
Zhaopeng Tu, Yang Liu, Lifeng Shang +2
Although end-to-end Neural Machine Translation (NMT) has achieved remarkable progress in the past two years, it suffers from a major drawback: translations generated by NMT systems…
Neural Machine Translation Advised by Statistical Machine Translation
Xing Wang, Zhengdong Lu, Zhaopeng Tu +3
Neural Machine Translation (NMT) is a new approach to machine translation that has made great progress in recent years. However, recent studies show that NMT generally produces flu…
Context Gates for Neural Machine Translation
Zhaopeng Tu, Yang Liu, Zhengdong Lu +2
In neural machine translation (NMT), generation of a target word depends on both source and target contexts. We find that source contexts have a direct impact on the adequacy of a…
Automatic Construction of Discourse Corpora for Dialogue Translation
Longyue Wang, Xiaojun Zhang, Zhaopeng Tu +2
In this paper, a novel approach is proposed to automatically construct parallel discourse corpus for dialogue machine translation. Firstly, the parallel subtitle data and its corre…
A Novel Approach to Dropped Pronoun Translation
Longyue Wang, Zhaopeng Tu, Xiaojun Zhang +3
Dropped Pronouns (DP) in which pronouns are frequently dropped in the source language but should be retained in the target language are challenge in machine translation. In respons…
Modeling Coverage for Neural Machine Translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu +2
Attention mechanism has enhanced state-of-the-art Neural Machine Translation (NMT) by jointly learning to align and translate. It tends to ignore past alignment information, howeve…