Minimum risk training for neural machine translation S Shen, Y Cheng, Z He, W He, H Wu, M Sun, Y Liu arXiv preprint arXiv:1512.02433, 2015 | 516 | 2015 |
Semi-supervised learning for neural machine translation Y Cheng, Y Cheng Joint training for neural machine translation, 25-40, 2019 | 324 | 2019 |
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, ... arXiv preprint arXiv:1810.08398, 2018 | 259 | 2018 |
Progress in machine translation H Wang, H Wu, Z He, L Huang, KW Church Engineering 18, 143-153, 2022 | 212 | 2022 |
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 | 165 | 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 | 156 | 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 | 112 | 2019 |
Agreement-based joint training for bidirectional attention-based neural machine translation Y Cheng, Y Cheng Joint Training for Neural Machine Translation, 11-23, 2019 | 92 | 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 | 85 | 2021 |
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 | 75 | 2020 |
Improving statistical machine translation using lexicalized rule selection Z He, Q Liu, S Lin Proceedings of the 22nd International Conference on Computational …, 2008 | 70 | 2008 |
Robust neural machine translation with joint textual and phonetic embedding H Liu, M Ma, L Huang, H Xiong, Z He arXiv preprint arXiv:1810.06729, 2018 | 60 | 2018 |
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 | 51 | 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 | 46 | 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 |
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 | 34 | 2018 |
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 | 33 | 2021 |
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 | 32 | 2018 |
Stacl: Simultaneous translation with integrated anticipation and controllable latency M Ma, L Huang, H Xiong, K Liu, C Zhang, Z He, H Liu, X Li, H Wang arXiv preprint arXiv:1810.08398, 2018 | 29 | 2018 |
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 | 28 | 2019 |