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
782017
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
662019
An empirical comparison of simple domain adaptation methods for neural machine translation
C Chu, R Dabre, S Kurohashi
arXiv preprint arXiv:1701.03214, 2017
432017
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
272016
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
242015
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
182017
Morphological Analyzer for Affix Stacking Languages: A Case Study of Marathi.
R Dabre, A Amberkar, P Bhattacharyya
COLING (Posters), 225-234, 2012
152012
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
122019
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
122016
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
102019
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
82018
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
82017
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
72016
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
62019
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
62015
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
52019
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
52019
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
52015
Kyoto university mt system description for iwslt 2017
R Dabre, F Cromieres, S Kurohashi
Proc. of IWSLT, Tokyo, Japan, 2017
42017
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