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Guanlin Li
Guanlin Li
Harbin Institute of Technology
在 hit-mtlab.net 的电子邮件经过验证 - 首页
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年份
On the word alignment from neural machine translation
X Li, G Li, L Liu, M Meng, S Shi
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
832019
Evaluating explanation methods for neural machine translation
J Li, L Liu, H Li, G Li, G Huang, S Shi
arXiv preprint arXiv:2005.01672, 2020
282020
Understanding data augmentation in neural machine translation: Two perspectives towards generalization
G Li, L Liu, G Huang, C Zhu, T Zhao
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
222019
Generative bridging network in neural sequence prediction
W Chen, G Li, S Ren, S Liu, Z Zhang, M Li, M Zhou
arXiv preprint arXiv:1706.09152, 2017
92017
Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation
X Li, L Liu, Z Tu, G Li, S Shi, MQH Meng
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2606-2616, 2021
62021
Detecting Source Contextual Barriers for Understanding Neural Machine Translation
G Li, L Liu, C Zhu, R Wang, T Zhao, S Shi
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3158-3169, 2021
22021
Understanding Learning Dynamics for Neural Machine Translation
C Zhu, G Li, L Liu, T Zhao, S Shi
arXiv preprint arXiv:2004.02199, 2020
22020
Neural sequence prediction by coaching
W Chen, G Li, S Liu, Z Zhang, M Li, M Zhou
CoRR, abs/1706.09152, 2017
22017
Detecting and Understanding Generalization Barriers for Neural Machine Translation
G Li, L Liu, C Zhu, T Zhao, S Shi
arXiv preprint arXiv:2004.02181, 2020
12020
Understanding and improving hidden representations for neural machine translation
G Li, L Liu, X Li, C Zhu, T Zhao, S Shi
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
12019
Demystifying Learning of Unsupervised Neural Machine Translation
G Li, T Watanabe, C Zhu, T Zhao
2020
Approximate Distribution Matching for Sequence-to-Sequence Learning
W Chen, G Li, S Liu, Z Zhang, M Li, M Zhou
arXiv preprint arXiv:1808.08003, 2018
2018
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