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 | 89 | 2019 |
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 | 33 | 2020 |
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 | 25 | 2019 |
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 | 9 | 2021 |
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 | 9 | 2017 |
Understanding Learning Dynamics for Neural Machine Translation C Zhu, G Li, L Liu, T Zhao, S Shi arXiv preprint arXiv:2004.02199, 2020 | 3 | 2020 |
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 | 2 | 2021 |
Neural sequence prediction by coaching W Chen, G Li, S Liu, Z Zhang, M Li, M Zhou CoRR, abs/1706.09152, 2017 | 2 | 2017 |
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 | 1 | 2020 |
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 | 1 | 2019 |
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 |