Raj Dabre
Title
Cited by
Cited by
Year
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
1182017
Overview of the 7th workshop on Asian translation
T Nakazawa, H Nakayama, C Ding, R Dabre, S Higashiyama, H Mino, ...
Proceedings of the 7th Workshop on Asian Translation, 1-44, 2020
992020
An empirical comparison of simple domain adaptation methods for neural machine translation
C Chu, R Dabre, S Kurohashi
arXiv preprint arXiv:1701.03214, 2017
552017
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
372017
A survey of multilingual neural machine translation
R Dabre, C Chu, A Kunchukuttan
ACM Computing Surveys (CSUR) 53 (5), 1-38, 2020
36*2020
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
332016
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
292015
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
222019
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
212019
Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi.
R Dabre, A Amberkar, P Bhattacharyya
COLING (Posters), 225-234, 2012
19*2012
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
172019
Comparison of SMT and RBMT: The requirement of Hybridization for Marathi–Hindi MT
S S, R Dabre, P Bhattacharyya
ICON, 2013
17*2013
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
142017
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
142016
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
132019
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
112019
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
112018
Multilingual multi-domain adaptation approaches for neural machine translation
C Chu, R Dabre
arXiv preprint arXiv:1906.07978, 2019
92019
NICT’s Participation in WAT 2018: Approaches Using Multilingualism and Recurrently Stacked Layers
R Dabre, A Kunchukuttan, A Fujita, E Sumita
92018
Multilingual and multi-domain adaptation for neural machine translation
C Chu, R Dabre
Proceedings of the 24th Meeting of the Association for Natural Language …, 2018
92018
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