| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 274 | 2017 |
| Improved speech-to-text translation with the Fisher and Callhome Spanish-English speech translation corpus M Post, G Kumar, A Lopez, D Karakos, C Callison-Burch, S Khudanpur Proceedings of the 10th International Workshop on Spoken Language …, 2013 | 148 | 2013 |
| Curriculum learning for domain adaptation in neural machine translation X Zhang, P Shapiro, G Kumar, P McNamee, M Carpuat, K Duh arXiv preprint arXiv:1905.05816, 2019 | 134 | 2019 |
| An empirical exploration of curriculum learning for neural machine translation X Zhang, G Kumar, H Khayrallah, K Murray, J Gwinnup, MJ Martindale, ... arXiv preprint arXiv:1811.00739, 2018 | 118 | 2018 |
| Reinforcement learning based curriculum optimization for neural machine translation G Kumar, G Foster, C Cherry, M Krikun arXiv preprint arXiv:1903.00041, 2019 | 85 | 2019 |
| Neural lattice search for domain adaptation in machine translation H Khayrallah, G Kumar, K Duh, M Post, P Koehn The 8th International Joint Conference on Natural Language Processing, 20-25, 2017 | 33 | 2017 |
| Translations of the Callhome Egyptian Arabic Corpus for Conversational Speech Translation G Kumar, Y Cao, R Cotterell, C Callison-Burch, D Povey, S Khudanpur IWSLT 2014, International Workshop on Spoken Language Translation, 2014 | 31 | 2014 |
| Some insights from translating conversational telephone speech G Kumar, M Post, D Povey, S Khudanpur Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014 | 26 | 2014 |
| Joshua 6: A phrase-based and hierarchical statistical machine translation system. M Post, Y Cao, G Kumar Prague Bull. Math. Linguistics 104, 5-16, 2015 | 22 | 2015 |
| A coarse-grained model for optimal coupling of ASR and SMT systems for speech translation G Kumar, G Blackwood, J Trmal, D Povey, S Khudanpur Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015 | 11 | 2015 |
| Learning Curricula for Multilingual Neural Machine Translation Training G Kumar, P Koehn, S Khudanpur Proceedings of the 18th Biennial Machine Translation Summit 1, 1--9, 2021 | 7* | 2021 |
| Learning feature weights using reward modeling for denoising parallel corpora G Kumar, P Koehn, S Khudanpur arXiv preprint arXiv:2103.06968, 2021 | 3 | 2021 |
| Using of heterogeneous corpora for training of an ASR system J Trmal, G Kumar, V Manohar, S Khudanpur, M Post, P McNamee arXiv preprint arXiv:1706.00321, 2017 | 1 | 2017 |
| META-LEARNING NEURAL MACHINE TRANSLATION CURRICULA G Kumar Johns Hopkins University, 2021 | | 2021 |
Sanjeev KhudanpurThe Johns Hopkins University在 jhu.edu 的电子邮件经过验证
