A survey of multilingual neural machine translation R Dabre, C Chu, A Kunchukuttan ACM Computing Surveys (CSUR) 53 (5), 1-38, 2020 | 309 | 2020 |
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 | 230 | 2017 |
Overview of the 8th workshop on Asian translation T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ... Proceedings of the 8th Workshop on Asian Translation (WAT2021), 1-45, 2021 | 166 | 2021 |
IndicBART: A pre-trained model for indic natural language generation R Dabre, H Shrotriya, A Kunchukuttan, R Puduppully, MM Khapra, ... arXiv preprint arXiv:2109.02903, 2021 | 77* | 2021 |
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 | 71 | 2017 |
An empirical comparison of simple domain adaptation methods for neural machine translation C Chu, R Dabre, S Kurohashi arXiv preprint arXiv:1701.03214, 2017 | 68 | 2017 |
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 | 58 | 2019 |
Recurrent stacking of layers for compact neural machine translation models R Dabre, A Fujita Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6292-6299, 2019 | 58 | 2019 |
Improving Transformer-Based Speech Recognition Systems with Compressed Structure and Speech Attributes Augmentation. S Li, R Dabre, X Lu, P Shen, T Kawahara, H Kawai Interspeech, 4400-4404, 2019 | 57 | 2019 |
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 | 45 | 2019 |
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 | 38 | 2016 |
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 | 37 | 2017 |
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 | 36 | 2015 |
IndicNLG benchmark: Multilingual datasets for diverse NLG tasks in Indic languages A Kumar, H Shrotriya, P Sahu, R Dabre, R Puduppully, A Kunchukuttan, ... arXiv preprint arXiv:2203.05437, 2022 | 35 | 2022 |
Overview of the 10th Workshop on Asian Translation T Nakazawa, K Kinugawa, H Mino, I Goto, R Dabre, S Higashiyama, ... Proceedings of the 10th Workshop on Asian Translation, 1-28, 2023 | 31 | 2023 |
Multilingual multi-domain adaptation approaches for neural machine translation C Chu, R Dabre arXiv preprint arXiv:1906.07978, 2019 | 22 | 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 | 21 | 2018 |
Extremely low-resource neural machine translation for Asian languages R Rubino, B Marie, R Dabre, A Fujita, M Utiyama, E Sumita Machine Translation 34 (4), 347-382, 2020 | 20 | 2020 |
Indictrans2: Towards high-quality and accessible machine translation models for all 22 scheduled indian languages J Gala, PA Chitale, R AK, V Gumma, S Doddapaneni, A Kumar, J Nawale, ... arXiv preprint arXiv:2305.16307, 2023 | 19 | 2023 |
Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi. R Dabre, A Amberkar, P Bhattacharyya COLING (Posters), 225-234, 2012 | 19 | 2012 |