zhoushuhan1013 / test

Machine Translation Paper List (AAAI-2020)

Long papers (21)

Paper	Authors	Domain	Link
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation	Chenze Shao, Jinchao Zhang , Yang Feng , Fandong Meng and Jie Zhou	Training, Non-Autoregressive NMT	https://arxiv.org/abs/1911.09320
Neural Machine Translation with Byte-Level Subwords	Changhan Wang , Kyunghyun Cho and Jiatao Gu	Data Processing	https://arxiv.org/abs/1909.03341
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation	Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu	Curriculum Learning, Non-Autoregressive NMT	https://arxiv.org/abs/1911.08717
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling	Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C.H. Ao	Dialect Translation	https://arxiv.org/abs/1912.05134
Transductive Ensemble Learning for Neural Machine Translation	Yiren Wang, Lijun Wu, Yingce Xia, Tao Qin, ChengXiang Zhai, Tie-Yan Liu	Neural Network Architecture	-
IntroVNMT: An Introspective Model for Variational Neural Machine Translation	Xin Sheng, Linli Xu, Junliang Guo, Jingchang Liu, Ruoyu Zhao, Yinlong Xu	Neural Network Architecture	-
Latent-Variable Non-Autoregressive Neural Machine Translation with Deterministic Inference Using a Delta Posterior	Raphael Shu , Jason Lee , Hideki Nakayama , and Kyunghyun Cho	Non-Autoregressive NMT	https://arxiv.org/abs/1908.07181
Improving Context-Aware Neural Machine Translation Using Self-Attentive Sentence Embedding	Hyeongu Yun, Yongkeun Hwang, Kyomin Jung	Context-Aware NMT	-
Controlling Neural Machine Translation Formality with Synthetic Supervision	Xing Niu, Marine Carpuat	Training	https://arxiv.org/abs/1911.08706
A Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation	Rumeng Li, Xun Wang, Hong Yu	Low-Resource	-
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation	Aditya Siddhant, Melvin Johnson, Henry Tsai, Naveen Arivazhagan, Jason Riesa, Ankur Bapna, Orhan Firat, Karthik Raman	Multilingual NMT	https://arxiv.org/abs/1909.00437
Explicit Sentence Compression for Neural Machine Translation	Zuchao Li, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Zhuosheng Zhang, and Hai Zhao	Neural Network Architecture	https://arxiv.org/abs/1912.11980
Neuron Interaction Based Representation Composition for Neural Machine Translation	Jian Li, Xing Wang, Baosong Yang, Shuming Shi, Michael R. Lyu, Zhaopeng Tu	Neural Network Architecture	http://arxiv.org/abs/1911.09877?context=cs.CL
Neural Machine Translation with Joint Representation	Yanyang Li , Qiang Wang , Tong Xiao , Tongran Liu and Jingbo Zhu	Neural Network Architecture	https://arxiv.org/abs/2002.06546
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation	Baijun Ji , Zhirui Zhang , Xiangyu Duan, Min Zhang, Boxing Chen and Weihua Luo	Low-resource	https://arxiv.org/abs/1912.01214
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models	Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang	Curriculum Learning	-
Towards Making the Most of BERT in Neural Machine Translation	Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li	Training	https://arxiv.org/abs/1908.05672
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation	Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu	Decoding	https://arxiv.org/abs/1912.00178
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation	Rongxiang Weng , Heng Yu , Shujian Huang1 , Shanbo Cheng , Weihua Luo	Training using pre-trained model	https://arxiv.org/abs/1912.01774
Visual Agreement Regularized Training for Multi-Modal Machine Translation	Pengcheng Yang, Boxing Chen, Pei Zhang, Xu Sun	Multi-modal machine translation	https://arxiv.org/abs/1912.12014
Balancing Quality and Human Involvement: an Effective Approach to Interactive Neural Machine Translation	tianxiang zhao, Lemao Liu, Guoping Huang, Zhaopeng Tu, Huayang Li, Yingling Liu, Liu GuiQuan, Shuming Shi	Neural Network Architecture	-
GRET: Global Representation Enhanced Transformer	Rongxiang Weng, Haoran Wei, Shujian Huang, Heng Yu, Lidong Bing, Weihua Luo, Jiajun Chen	Neural Network Architecture	https://arxiv.org/abs/2002.10101