Taku Kudo
Taku Kudo
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Title
Cited by
Cited by
Year
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
35182016
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
9792004
Chunking with support vector machines
T Kudo, Y Matsumoto
Second Meeting of the North American Chapter of the Association for …, 2001
6962001
Japanese dependency analysis using cascaded chunking
T Kudo, Y Matsumoto
COLING-02: The 6th Conference on Natural Language Learning 2002 (CoNLL-2002), 2002
6382002
Sentencepiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
T Kudo, J Richardson
arXiv preprint arXiv:1808.06226, 2018
5672018
Use of support vector learning for chunk identification
T Kudo, Y Matsumoto
Fourth Conference on Computational Natural Language Learning and the Second …, 2000
3992000
Support vector machine applications in computational biology
WS Noble
Kernel methods in computational biology 71, 92, 2004
3812004
CRF++: Yet another CRF toolkit
T Kudo
http://crfpp. sourceforge. net/, 2005
3032005
Subword regularization: Improving neural network translation models with multiple subword candidates
T Kudo
arXiv preprint arXiv:1804.10959, 2018
2692018
Fast methods for kernel-based text analysis
T Kudo, Y Matsumoto
Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003
2632003
Mecab: Yet another part-of-speech and morphological analyzer
T Kudo
http://mecab. sourceforge. jp, 2006
2622006
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
2252004
An application of boosting to graph classification
T Kudo, E Maeda, Y Matsumoto
Advances in neural information processing systems 17, 729-736, 2004
2202004
Japanese dependency structure analysis based on support vector machines
T Kudo, Y Matsumoto
2000 Joint SIGDAT Conference on Empirical Methods in Natural Language …, 2000
1742000
gBoost: a mathematical programming approach to graph classification and regression
H Saigo, S Nowozin, T Kadowaki, T Kudo, K Tsuda
Machine Learning 75 (1), 69-89, 2009
1342009
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
1252007
Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines.
T Nakagawa, T Kudo, Y Matsumoto
NLPRS, 325-331, 2001
1102001
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
962005
Clustering graphs by weighted substructure mining
K Tsuda, T Kudo
Proceedings of the 23rd international conference on Machine learning, 953-960, 2006
922006
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
902002
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