| Code-Switching for Enhancing NMT with Pre-Specified Translation K Song, Y Zhang, H Yu, W Luo, K Wang, M Zhang Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 106 | 2019 |
| Alignment-enhanced transformer for constraining nmt with pre-specified translations K Song, K Wang, H Yu, Y Zhang, Z Huang, W Luo, X Duan, M Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8886-8893, 2020 | 45 | 2020 |
| Joint morphological generation and syntactic linearization L Song, Y Zhang, K Song, Q Liu Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 13 | 2014 |
| Improved English to Russian translation by neural suffix prediction K Song, Y Zhang, M Zhang, W Luo Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 11 | 2018 |
| Towards better word alignment in transformer K Song, X Zhou, H Yu, Z Huang, Y Zhang, W Luo, X Duan, M Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1801-1812, 2020 | 7 | 2020 |
| Syntactic smt using a discriminative text generation model Y Zhang, K Song, L Song, J Zhu, Q Liu Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014 | 7 | 2014 |
| VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder Y Ma, D Chi, J Li, K Song, Y Zhuang, I King Findings of the Association for Computational Linguistics: NAACL 2024, 364-378, 2024 | | 2024 |
