83 citations · 517 across the 59 of their papers we have counts for
7 papers · 1 filter
Towards Linear Time Neural Machine Translation with Capsule Networks
Mingxuan Wang, Jun Xie, Zhixing Tan +3
In this study, we first investigate a novel capsule network with dynamic routing for linear time Neural Machine Translation (NMT), referred as \textsc{CapsNMT}. \textsc{CapsNMT} us…
Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks
Biao Zhang, Deyi Xiong, Jinsong Su +2
In this paper, we propose an additionsubtraction twin-gated recurrent network (ATR) to simplify neural machine translation. The recurrent units of ATR are heavily simplified to hav…
Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT
Jing Yang, Biao Zhang, Yue Qin +3
Although neural machine translation(NMT) yields promising translation performance, it unfortunately suffers from over- and under-translation is- sues [Tu et al., 2016], of which st…
Deconvolution-Based Global Decoding for Neural Machine Translation
Junyang Lin, Xu Sun, Xuancheng Ren +3
A great proportion of sequence-to-sequence (Seq2Seq) models for Neural Machine Translation (NMT) adopt Recurrent Neural Network (RNN) to generate translation word by word following…
Accelerating Neural Transformer via an Average Attention Network
Biao Zhang, Deyi Xiong, Jinsong Su
With parallelizable attention networks, the neural Transformer is very fast to train. However, due to the auto-regressive architecture and self-attention in the decoder, the decodi…
Asynchronous Bidirectional Decoding for Neural Machine Translation
Xiangwen Zhang, Jinsong Su, Yue Qin +3
The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation. Traditionally, the NMT decoders adopt recurrent neur…
Variational Recurrent Neural Machine Translation
Jinsong Su, Shan Wu, Deyi Xiong +3
Partially inspired by successful applications of variational recurrent neural networks, we propose a novel variational recurrent neural machine translation (VRNMT) model in this pa…