| Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017 | 409* | 2017 |
| Learning to generate pseudo-code from source code using statistical machine translation Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 278 | 2015 |
| 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 | 145 | 2021 |
| Optimizing segmentation strategies for simultaneous speech translation Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 73 | 2014 |
| Syntax-based simultaneous translation through prediction of unseen syntactic constituents Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 36 | 2015 |
| An empirical study of mini-batch creation strategies for neural machine translation M Morishita, Y Oda, G Neubig, K Yoshino, K Sudoh, S Nakamura arXiv preprint arXiv:1706.05765, 2017 | 32 | 2017 |
| Findings of the third workshop on neural generation and translation H Hayashi, Y Oda, A Birch, I Konstas, A Finch, MT Luong, G Neubig, ... arXiv preprint arXiv:1910.13299, 2019 | 28 | 2019 |
| Ckylark: A more robust PCFG-LA parser Y Oda, G Neubig, S Sakti, T Toda, S Nakamura Proceedings of the 2015 Conference of the North American Chapter of the …, 2015 | 27 | 2015 |
| Neural machine translation via binary code prediction Y Oda, P Arthur, G Neubig, K Yoshino, S Nakamura arXiv preprint arXiv:1704.06918, 2017 | 17 | 2017 |
| Findings of the fourth workshop on neural generation and translation K Heafield, H Hayashi, Y Oda, I Konstas, A Finch, G Neubig, X Li, A Birch Proceedings of the fourth workshop on neural generation and translation, 1-9, 2020 | 14 | 2020 |
| Findings of the second workshop on neural machine translation and generation A Birch, A Finch, MT Luong, G Neubig, Y Oda arXiv preprint arXiv:1806.02940, 2018 | 11 | 2018 |
| Pseudogen: A tool to automatically generate pseudo-code from source code H Fudaba, Y Oda, K Akabe, G Neubig, H Hata, S Sakti, T Toda, ... 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 11 | 2015 |
| The naist-ntt ted talk treebank G Neubig, K Sudoh, Y Oda, K Duh, H Tsukuda, M Nagata Proceedings of the 11th International Workshop on Spoken Language …, 2014 | 11 | 2014 |
| Fuel control system of engine J Sasaki, N Yamaguchi, ODA Yusuke, Y Wada, Y Honda US Patent 9,897,037, 2018 | 10 | 2018 |
| A simple and strong baseline: NAIST-NICT neural machine translation system for WAT2017 English-Japanese translation task Y Oda, K Sudoh, S Nakamura, M Utiyama, E Sumita Proceedings of the 4th Workshop on Asian Translation (WAT2017), 135-139, 2017 | 7 | 2017 |
| Vehicular input device and vehicular cockpit module ODA Yusuke, S Hisada US Patent 9,511,669, 2016 | 5 | 2016 |
| Vehicular input device ODA Yusuke US Patent 9,927,903, 2018 | 4 | 2018 |
| Phrase-based Machine Translation using Multiple Preordering Candidates Y Oda, T Kudo, T Nakagawa, T Watanabe | 4 | 2016 |
| ソースコード構文木からの統計的自動コメント生成 小田悠介， 札場寛之， 戸田智基， 中村哲 研究報告自然言語処理 (NL) 2014 (12), 1-9, 2014 | 3 | 2014 |
| Are Prompt-based Models Clueless? P Kavumba, R Takahashi, Y Oda Journal of Natural Language Processing 29 (3), 991-996, 2022 | 2 | 2022 |
Graham NeubigCarnegie Mellon University, Inspired CognitionVerified email at cs.cmu.edu
