157 citations · 523 across the 15 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
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…
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…
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…