| Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 9467 | 2016 |
| Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing T Kudo, J Richardson arXiv preprint arXiv:1808.06226, 2018 | 4188 | 2018 |
| Applying conditional random fields to Japanese morphological analysis T Kudo, K Yamamoto, Y Matsumoto Proceedings of the 2004 conference on empirical methods in natural language …, 2004 | 1527 | 2004 |
| Subword regularization: Improving neural network translation models with multiple subword candidates T Kudo arXiv preprint arXiv:1804.10959, 2018 | 1414 | 2018 |
| Japanese dependency analysis using cascaded chunking T Kudo, Y Matsumoto COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002), 2002 | 754 | 2002 |
| Chunking with support vector machines T Kudo, Y Matsumoto Second meeting of the North American chapter of the Association for …, 2001 | 750 | 2001 |
| Mecab: Yet another part-of-speech and morphological analyzer T Kudo http://mecab. sourceforge. net/, 2005 | 496 | 2005 |
| Use of support vector learning for chunk identification T Kudo, Y Matsumoto Fourth conference on computational natural language learning and the second …, 2000 | 443 | 2000 |
| CRF++: Yet another CRF toolkit T Kudo http://crfpp. sourceforge. net/, 2005 | 333 | 2005 |
| Fast methods for kernel-based text analysis T Kudo, Y Matsumoto Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003 | 301 | 2003 |
| An application of boosting to graph classification T Kudo, E Maeda, Y Matsumoto Advances in neural information processing systems 17, 2004 | 247 | 2004 |
| A boosting algorithm for classification of semi-structured text T Kudo, Y Matsumoto Proceedings of the 2004 conference on empirical methods in natural language …, 2004 | 246 | 2004 |
| Japanese dependency structure analysis based on support vector machines T Kudo Nara Institute of Science and Technology, 2001 | 189 | 2001 |
| gBoost: a mathematical programming approach to graph classification and regression H Saigo, S Nowozin, T Kadowaki, T Kudo, K Tsuda Machine Learning 75, 69-89, 2009 | 166 | 2009 |
| Weighted substructure mining for image analysis S Nowozin, K Tsuda, T Uno, T Kudo, G BakIr 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 136 | 2007 |
| Unknown word guessing and part-of-speech tagging using support vector machines. T Nakagawa, T Kudo, Y Matsumoto NLPRS, 325-331, 2001 | 126 | 2001 |
| Google’s neural machine translation system: Bridging the gap between human and machine translation. CoRR abs/1609.08144 (2016) Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 116 | 2016 |
| Application of kernels to link analysis T Ito, M Shimbo, T Kudo, Y Matsumoto Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 113 | 2005 |
| & Dean, J.(2016). Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 0 | 99 | |
| Japanese Named Entity Extraction Using Support Vector Machine. H Yamada, T Kudo, Y Matsumoto 情報処理学会論文誌 43 (1), 44-53, 2002 | 95 | 2002 |
Yuji MatsumotoTeam Leader, RIKEN Center for Advanced Intelligence ProjectVerified email at is.naist.jp
