| Minimum risk training for neural machine translation S Shen, Y Cheng, Z He, W He, H Wu, M Sun, Y Liu Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 546 | 2016 |
| Progress in machine translation H Wang, H Wu, Z He, L Huang, KW Church Engineering 18, 143-153, 2022 | 378 | 2022 |
| Semi-supervised learning for neural machine translation Y Cheng, W Xu, Z He, W He, H Wu, M Sun, Y Liu Proceedings of the 54th annual meeting of the association for computational …, 2016 | 338 | 2016 |
| STACL: Simultaneous translation with implicit anticipation and controllable latency using prefix-to-prefix framework M Ma, L Huang, H Xiong, R Zheng, K Liu, B Zheng, C Zhang, Z He, H Liu, ... Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 301 | 2019 |
| End-to-end speech translation with knowledge distillation Y Liu, H Xiong, Z He, J Zhang, H Wu, H Wang, C Zong arXiv preprint arXiv:1904.08075, 2019 | 192 | 2019 |
| Improved neural machine translation with SMT features W He, Z He, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 170 | 2016 |
| Modeling coherence for discourse neural machine translation H Xiong, Z He, H Wu, H Wang Proceedings of the AAAI conference on artificial intelligence 33 (01), 7338-7345, 2019 | 115 | 2019 |
| Correcting Chinese spelling errors with phonetic pre-training R Zhang, C Pang, C Zhang, S Wang, Z He, Y Sun, H Wu, H Wang Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 103 | 2021 |
| Agreement-based joint training for bidirectional attention-based neural machine translation Y Cheng Joint Training for Neural Machine Translation, 11-23, 2019 | 97 | 2019 |
| Synchronous speech recognition and speech-to-text translation with interactive decoding Y Liu, J Zhang, H Xiong, L Zhou, Z He, H Wu, H Wang, C Zong Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8417-8424, 2020 | 90 | 2020 |
| Improving statistical machine translation using lexicalized rule selection Z He, Q Liu, S Lin Proceedings of the 22nd international conference on computational …, 2008 | 71 | 2008 |
| Robust neural machine translation with joint textual and phonetic embedding H Liu, M Ma, L Huang, H Xiong, Z He Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 64 | 2019 |
| Learning adaptive segmentation policy for simultaneous translation R Zhang, C Zhang, Z He, H Wu, H Wang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 50 | 2020 |
| Baidu neural machine translation systems for WMT19 M Sun, B Jiang, H Xiong, Z He, H Wu, H Wang Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 48 | 2019 |
| Maximum entropy based rule selection model for syntax-based statistical machine translation Q Liu, Z He, Y Liu, S Lin Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 42 | 2008 |
| Bstc: A large-scale chinese-english speech translation dataset R Zhang, X Wang, C Zhang, Z He, H Wu, Z Li, H Wang, Y Chen, Q Li arXiv preprint arXiv:2104.03575, 2021 | 36 | 2021 |
| Dutongchuan: Context-aware translation model for simultaneous interpreting H Xiong, R Zhang, C Zhang, Z He, H Wu, H Wang arXiv preprint arXiv:1907.12984, 2019 | 36 | 2019 |
| Multi-channel encoder for neural machine translation H Xiong, Z He, X Hu, H Wu Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 36 | 2018 |
| Addressing troublesome words in neural machine translation Y Zhao, J Zhang, Z He, C Zong, H Wu Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 35 | 2018 |
| Progress in machine translation. Engineering, 18, 143–153 H Wang, H Wu, Z He, L Huang, KW Church | 34 | 2022 |