| An empirical comparison of domain adaptation methods for neural machine translation C Chu, R Dabre, S Kurohashi Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 78 | 2017 |
| Overview of the 6th workshop on Asian translation T Nakazawa, N Doi, S Higashiyama, C Ding, R Dabre, H Mino, I Goto, ... Proceedings of the 6th Workshop on Asian Translation, 1-35, 2019 | 66 | 2019 |
| An empirical comparison of simple domain adaptation methods for neural machine translation C Chu, R Dabre, S Kurohashi arXiv preprint arXiv:1701.03214, 2017 | 43 | 2017 |
| Kyoto university participation to wat 2016 F Cromieres, C Chu, T Nakazawa, S Kurohashi Proceedings of the 3rd Workshop on Asian Translation (WAT2016), 166-174, 2016 | 27 | 2016 |
| Leveraging small multilingual corpora for smt using many pivot languages R Dabre, F Cromieres, S Kurohashi, P Bhattacharyya Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 24 | 2015 |
| An empirical study of language relatedness for transfer learning in neural machine translation R Dabre, T Nakagawa, H Kazawa Proceedings of the 31st Pacific Asia Conference on Language, Information and …, 2017 | 18 | 2017 |
| Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi. R Dabre, A Amberkar, P Bhattacharyya COLING (Posters), 225-234, 2012 | 15 | 2012 |
| Comparison of SMT and RBMT: The requirement of Hybridization for Marathi–Hindi MT S Nair, R Dabre, P Bhattacharyya ICON, 2013 | 13* | 2013 |
| Recurrent stacking of layers for compact neural machine translation models R Dabre, A Fujita Proceedings of the AAAI Conference on Artificial Intelligence 33, 6292-6299, 2019 | 12 | 2019 |
| Parallel sentence extraction from comparable corpora with neural network features C Chu, R Dabre, S Kurohashi Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 12 | 2016 |
| Exploiting out-of-domain parallel data through multilingual transfer learning for low-resource neural machine translation A Imankulova, R Dabre, A Fujita, K Imamura arXiv preprint arXiv:1907.03060, 2019 | 10 | 2019 |
| A comprehensive empirical comparison of domain adaptation methods for neural machine translation C Chu, R Dabre, S Kurohashi Journal of Information Processing 26, 529-538, 2018 | 8 | 2018 |
| Enabling multi-source neural machine translation by concatenating source sentences in multiple languages R Dabre, F Cromieres, S Kurohashi arXiv preprint arXiv:1702.06135, 2017 | 8 | 2017 |
| The Kyoto University cross-lingual pronoun translation system R Dabre, Y Puzikov, F Cromieres, S Kurohashi Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016 | 7 | 2016 |
| Exploiting multilingualism through multistage fine-tuning for low-resource neural machine translation R Dabre, A Fujita, C Chu Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 6 | 2019 |
| KyotoEBMT System Description for the 2nd Workshop on Asian Translation J Richardson, R Dabre, C Chu, F Cromières, T Nakazawa, S Kurohashi Proceedings of the 2nd Workshop on Asian Translation (WAT2015), 54-60, 2015 | 6 | 2015 |
| NICT’s supervised neural machine translation systems for the WMT19 news translation task R Dabre, K Chen, B Marie, R Wang, A Fujita, M Utiyama, E Sumita Proceedings of the Fourth Conference on Machine Translation (Volume 2 …, 2019 | 5 | 2019 |
| Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. S Li, D Raj, X Lu, P Shen, T Kawahara, H Kawai INTERSPEECH, 4400-4404, 2019 | 5 | 2019 |
| Large-scale Dictionary Construction via Pivot-based Statistical Machine Translation with Significance Pruning and Neural Network Features R Dabre, C Chu, F Cromieres, T Nakazawa, S Kurohashi Proceedings of the 29th Pacific Asia Conference on Language, Information and …, 2015 | 5 | 2015 |
| Kyoto university mt system description for iwslt 2017 R Dabre, F Cromieres, S Kurohashi Proc. of IWSLT, Tokyo, Japan, 2017 | 4 | 2017 |
Sadao KurohashiKyoto UniversityVerified email at i.kyoto-u.ac.jp
