activity
20152022
most citedEncoding Source Language with Convolutional Neural Network for Machine Translation

51 citations · 141 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

8 papers · 1 filter

cs.CL2022

The VolcTrans System for WMT22 Multilingual Machine Translation Task

Xian Qian, Kai Hu, Jiaqiang Wang +4

This report describes our VolcTrans system for the WMT22 shared task on large-scale multilingual machine translation. We participated in the unconstrained track which allows the us…

cs.CL201931 cited

Imitation Learning for Non-Autoregressive Neural Machine Translation

Bingzhen Wei, Mingxuan Wang, Hao Zhou +3

Non-autoregressive translation models (NAT) have achieved impressive inference speedup. A potential issue of the existing NAT algorithms, however, is that the decoding is conducted…

cs.CL201715 cited

Deep Semantic Role Labeling with Self-Attention

Zhixing Tan, Mingxuan Wang, Jun Xie +2

Semantic Role Labeling (SRL) is believed to be a crucial step towards natural language understanding and has been widely studied. Recent years, end-to-end SRL with recurrent neural…

cs.CL2017

Deep Neural Machine Translation with Linear Associative Unit

Mingxuan Wang, Zhengdong Lu, Jie Zhou +1

Deep Neural Networks (DNNs) have provably enhanced the state-of-the-art Neural Machine Translation (NMT) with their capability in modeling complex functions and capturing complex l…

cs.CL2016

Memory-enhanced Decoder for Neural Machine Translation

Mingxuan Wang, Zhengdong Lu, Hang Li +1

We propose to enhance the RNN decoder in a neural machine translator (NMT) with external memory, as a natural but powerful extension to the state in the decoding RNN. This memory-e…

cs.CL201511 cited

CNN: A Convolutional Architecture for Word Sequence Prediction

Mingxuan Wang, Zhengdong Lu, Hang Li +2

We propose a novel convolutional architecture, named CNN, for word sequence prediction. Different from previous work on neural network-based language modeling and generation (…