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20162021
most citedModeling Coverage for Neural Machine Translation

157 citations · 523 across the 15 of their papers we have counts for

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Showing 2016 · cs.CLShow all

7 papers · 2 filters

cs.CL2016★ 2 cited

Exploiting Unlabeled Data for Neural Grammatical Error Detection

Zhuoran Liu, Yang Liu

Identifying and correcting grammatical errors in the text written by non-native writers has received increasing attention in recent years. Although a number of annotated corpora ha…

cs.CL2016★ 60 cited

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…

cs.CL2016★ 57 cited

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

Jinsong Su, Zhixing Tan, Deyi Xiong +3

Neural machine translation (NMT) heavily relies on word-level modelling to learn semantic representations of input sentences. However, for languages without natural word delimiters…

cs.CL2016★ 1 cited

To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation

Christian Hadiwinoto, Yang Liu, Hwee Tou Ng

Reordering poses a major challenge in machine translation (MT) between two languages with significant differences in word order. In this paper, we present a novel reordering approa…

cs.CL2016★ 15 cited

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…

cs.CL2016★ 61 cited

Semi-Supervised Learning for Neural Machine Translation

Yong Cheng, Wei Xu, Zhongjun He +4

While end-to-end neural machine translation (NMT) has made remarkable progress recently, NMT systems only rely on parallel corpora for parameter estimation. Since parallel corpora…