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ORCIDAtsushi Fujita
- > Home > Persons > Atsushi Fujita
Publications
- 2021
[c56]Benjamin Marie
, Atsushi Fujita, Raphael Rubino:
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers. ACL/IJCNLP (1) 2021: 7297-7306- [c54]Raphael Rubino, Atsushi Fujita, Benjamin Marie:
Error Identification for Machine Translation with Metric Embedding and Attention. Eval4NLP 2021: 146-156 - [c51]Raphael Rubino, Atsushi Fujita, Benjamin Marie:
NICT Kyoto Submission for the WMT'21 Quality Estimation Task: Multimetric Multilingual Pretraining for Critical Error Detection. WMT@EMNLP 2021: 941-947 - [i11]Benjamin Marie, Atsushi Fujita:
Synthesizing Monolingual Data for Neural Machine Translation. CoRR abs/2101.12462 (2021) - [i8]Benjamin Marie, Atsushi Fujita, Raphael Rubino:
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers. CoRR abs/2106.15195 (2021) - 2020
- [j11]Raphael Rubino, Benjamin Marie, Raj Dabre, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
Extremely low-resource neural machine translation for Asian languages. Mach. Transl. 34(4): 347-382 (2020) - [j10]Benjamin Marie, Atsushi Fujita:
Synthesizing Parallel Data of User-Generated Texts with Zero-Shot Neural Machine Translation. Trans. Assoc. Comput. Linguistics 8: 710-725 (2020) - [j9]Benjamin Marie, Atsushi Fujita:
Iterative Training of Unsupervised Neural and Statistical Machine Translation Systems. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(5): 68:1-68:21 (2020) - [c50]Benjamin Marie, Raphael Rubino, Atsushi Fujita:
Tagged Back-translation Revisited: Why Does It Really Work? ACL 2020: 5990-5997 - [c46]Benjamin Marie, Raphael Rubino, Atsushi Fujita:
Combination of Neural Machine Translation Systems at WMT20. WMT@EMNLP 2020: 230-238 - 2019
- [c43]Benjamin Marie, Atsushi Fujita:
Unsupervised Joint Training of Bilingual Word Embeddings. ACL (1) 2019: 3224-3230 - [c42]Benjamin Marie, Hour Kaing, Aye Myat Mon, Chenchen Ding, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
Supervised and Unsupervised Machine Translation for Myanmar-English and Khmer-English. WAT@EMNLP-IJCNLP 2019: 68-75 - [c39]Benjamin Marie, Atsushi Fujita:
Unsupervised Extraction of Partial Translations for Neural Machine Translation. NAACL-HLT (1) 2019: 3834-3844 - [c37]Raj Dabre, Kehai Chen, Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
NICT's Supervised Neural Machine Translation Systems for the WMT19 News Translation Task. WMT (2) 2019: 168-174 - [c36]Benjamin Marie, Raj Dabre, Atsushi Fujita:
NICT's Machine Translation Systems for the WMT19 Similar Language Translation Task. WMT (3) 2019: 208-212 - [c35]Benjamin Marie, Haipeng Sun, Rui Wang, Kehai Chen, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
NICT's Unsupervised Neural and Statistical Machine Translation Systems for the WMT19 News Translation Task. WMT (2) 2019: 294-301 - 2018
- [j7]Benjamin Marie, Atsushi Fujita:
Phrase Table Induction Using Monolingual Data for Low-Resource Statistical Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 17(3): 16:1-16:25 (2018) - [c32]Benjamin Marie, Atsushi Fujita, Eiichiro Sumita:
Combination of Statistical and Neural Machine Translation for Myanmar-English. WAT@PACLIC 2018 - [c31]Benjamin Marie, Atsushi Fujita:
A Smorgasbord of Features to Combine Phrase-Based and Neural Machine Translation. AMTA (1) 2018: 111-124 - [c30]Benjamin Marie, Rui Wang, Atsushi Fujita, Masao Utiyama, Eiichiro Sumita:
NICT's Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task. WMT (shared task) 2018: 449-455 - [i1]Benjamin Marie, Atsushi Fujita:
Unsupervised Neural Machine Translation Initialized by Unsupervised Statistical Machine Translation. CoRR abs/1810.12703 (2018) - 2017
- [j6]Benjamin Marie, Atsushi Fujita:
Phrase Table Induction Using In-Domain Monolingual Data for Domain Adaptation in Statistical Machine Translation. Trans. Assoc. Comput. Linguistics 5: 487-500 (2017) - [c29]Benjamin Marie, Atsushi Fujita:
Efficient Extraction of Pseudo-Parallel Sentences from Raw Monolingual Data Using Word Embeddings. ACL (2) 2017: 392-398
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