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Raj Dabre
Raj Dabre
Researcher@NICT (Japan), Adjunct Faculty@IIT Madras/AI4Bharat (India)
Geverifieerd e-mailadres voor nict.go.jp - Homepage
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A survey of multilingual neural machine translation
R Dabre, C Chu, A Kunchukuttan
ACM Computing Surveys (CSUR) 53 (5), 1-38, 2020
3402020
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
2392017
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
1722021
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
87*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
742017
An empirical comparison of simple domain adaptation methods for neural machine translation
C Chu, R Dabre, S Kurohashi
arXiv preprint arXiv:1701.03214, 2017
712017
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
632019
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
602019
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
592019
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
472019
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
392022
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
382016
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
372017
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
362015
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
312023
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
282023
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
252020
Multilingual multi-domain adaptation approaches for neural machine translation
C Chu, R Dabre
arXiv preprint arXiv:1906.07978, 2019
222019
Fusion of self-supervised learned models for MOS prediction
Z Yang, W Zhou, C Chu, S Li, R Dabre, R Rubino, Y Zhao
arXiv preprint arXiv:2204.04855, 2022
212022
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
212018
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Artikelen 1–20