Taku Kudo

According to our database, Taku Kudo authored at least 28 papers between 2000 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

Development of a Bridge Inspection Support Robot System Using Two-Wheeled Multicopters.

Manabu Nakao, Eiji Hasegawa, Taku Kudo, Naoyuki Sawasaki

J. Robotics Mechatronics, 2019

2018

SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.

Taku Kudo, John Richardson

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

Taku Kudo

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Utilizing WiFi signals for improving SLAM and person localization.

Taku Kudo, Jun Miura

Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

2016

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean

CoRR, 2016

Phrase-based Machine Translation using Multiple Preordering Candidates.

Yusuke Oda, Taku Kudo, Tetsuji Nakagawa, Taro Watanabe

Proceedings of the COLING 2016, 2016

2014

A joint inference of deep case analysis and zero subject generation for Japanese-to-English statistical machine translation.

Taku Kudo, Hiroshi Ichikawa, Hideto Kazawa

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2011

Efficient dictionary and language model compression for input method editors.

Taku Kudo, Toshiyuki Hanaoka, Jun Mukai, Yusuke Tabata, Hiroyuki Komatsu

Proceedings of the Workshop on Advances in Text Input Methods, 2011

2009

gBoost: a mathematical programming approach to graph classification and regression.

Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda

Mach. Learn., 2009

2008

Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms.

Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Weighted Substructure Mining for Image Analysis.

Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir

Proceedings of the Mining and Learning with Graphs, 2007

2006

Mining frequent stem patterns from unaligned RNA sequences.

Michiaki Hamada, Koji Tsuda, Taku Kudo, Taishin Kin, Kiyoshi Asai

Bioinform., 2006

Clustering graphs by weighted substructure mining.

Koji Tsuda, Taku Kudo

Proceedings of the Machine Learning, 2006

2005

Application of kernels to link analysis.

Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Boosting-based Parse Reranking with Subtree Features.

Taku Kudo, Jun Suzuki, Hideki Isozaki

Proceedings of the ACL 2005, 2005

2004

Use of morphological analysis in protein name recognition.

Kaoru Yamamoto, Taku Kudo, Akihiko Konagaya, Yuji Matsumoto

J. Biomed. Informatics, 2004

An Application of Boosting to Graph Classification.

Taku Kudo, Eisaku Maeda, Yuji Matsumoto

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Applying Conditional Random Fields to Japanese Morphological Analysis.

Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

A Boosting Algorithm for Classification of Semi-Structured Text.

Taku Kudo, Yuji Matsumoto

Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing , 2004

2003

Learning Sequence-to-Sequence Correspondences from Parallel Corpora via Sequential Pattern Mining.

Kaoru Yamamoto, Taku Kudo, Yuta Tsuboi, Yuji Matsumoto

Proceedings of the HLT-NAACL 2003 Workshop on Building and Using Parallel Texts: Data Driven Machine Translation and Beyond, 2003

Protein Name Tagging for Biomedical Annotation in Text.

Kaoru Yamamoto, Taku Kudo, Akihiko Konagaya, Yuji Matsumoto

Proceedings of the Workshop on Natural Language Processing in Biomedicine, 2003

Fast Methods for Kernel-Based Text Analysis.

Taku Kudo, Yuji Matsumoto

Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003

2002

Japanese Dependency Analysis using Cascaded Chunking.

Taku Kudo, Yuji Matsumoto

Proceedings of the 6th Conference on Natural Language Learning, 2002

Revision Learning and its Application to Part-of-Speech Tagging.

Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto

Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002

2001

Ensembling based on Feature Space Restructuring with Application to WSD.

Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto

Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines.

Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto

Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Chunking with Support Vector Machines.

Taku Kudo, Yuji Matsumoto

Proceedings of the Language Technologies 2001: The Second Meeting of the North American Chapter of the Association for Computational Linguistics, 2001

2000

Japanese Dependency Structure Analysis Based on Support Vector Machines.

Taku Kudo, Yuji Matsumoto

Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 2000