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2010 – 2019
- 2019
[j5]Manabu Nakao, Eiji Hasegawa, Taku Kudo, Naoyuki Sawasaki:
Development of a Bridge Inspection Support Robot System Using Two-Wheeled Multicopters. J. Robotics Mechatronics 31(6): 837-844 (2019)- 2018
- [c24]Taku Kudo:
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates. ACL (1) 2018: 66-75 - [c23]Taku Kudo, John Richardson:
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing. EMNLP (Demonstration) 2018: 66-71 - [i3]Taku Kudo:
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates. CoRR abs/1804.10959 (2018) - [i2]Taku Kudo, John Richardson:
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing. CoRR abs/1808.06226 (2018) - 2017
- [c22]Taku Kudo, Jun Miura
:
Utilizing WiFi signals for improving SLAM and person localization. SII 2017: 487-493 - 2016
- [j4]John Richardson, Taku Kudo, Hideto Kazawa, Sadao Kurohashi:
A Generalized Dependency Tree Language Model for SMT. Inf. Media Technol. 11: 213-235 (2016) - [c21]Yusuke Oda, Taku Kudo, Tetsuji Nakagawa, Taro Watanabe:
Phrase-based Machine Translation using Multiple Preordering Candidates. COLING 2016: 1419-1428 - [i1]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:
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR abs/1609.08144 (2016) - 2014
- [c20]Taku Kudo, Hiroshi Ichikawa, Hideto Kazawa:
A joint inference of deep case analysis and zero subject generation for Japanese-to-English statistical machine translation. ACL (2) 2014: 557-562 - 2011
- [c19]Taku Kudo, Toshiyuki Hanaoka, Jun Mukai, Yusuke Tabata, Hiroyuki Komatsu:
Efficient dictionary and language model compression for input method editors. WTIM@IJCNLP 2011: 19-25 - [e1]Hideto Kazawa, Hisami Suzuki, Taku Kudo:
Proceedings of the Workshop on Advances in Text Input Methods, WTIM@IJCNLP 2011, Chiang Mai, Thailand, November 13, 2011. Asian Federation of Natural Language Processing 2011 [contents]
2000 – 2009
- 2009
- [j3]Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda:
gBoost: a mathematical programming approach to graph classification and regression. Mach. Learn. 75(1): 69-89 (2009) - 2008
- [c18]Mamoru Komachi, Taku Kudo, Masashi Shimbo, Yuji Matsumoto:
Graph-based Analysis of Semantic Drift in Espresso-like Bootstrapping Algorithms. EMNLP 2008: 1011-1020 - 2007
- [c17]Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis. CVPR 2007 - [c16]Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir:
Weighted Substructure Mining for Image Analysis. MLG 2007 - 2006
- [j2]Michiaki Hamada, Koji Tsuda, Taku Kudo, Taishin Kin, Kiyoshi Asai:
Mining frequent stem patterns from unaligned RNA sequences. Bioinform. 22(20): 2480-2487 (2006) - [c15]Koji Tsuda, Taku Kudo:
Clustering graphs by weighted substructure mining. ICML 2006: 953-960 - 2005
- [c14]Taku Kudo, Jun Suzuki, Hideki Isozaki:
Boosting-based Parse Reranking with Subtree Features. ACL 2005: 189-196 - [c13]Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto:
Application of kernels to link analysis. KDD 2005: 586-592 - 2004
- [j1]Kaoru Yamamoto, Taku Kudo, Akihiko Konagaya, Yuji Matsumoto:
Use of morphological analysis in protein name recognition. J. Biomed. Informatics 37(6): 471-482 (2004) - [c12]Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto:
Applying Conditional Random Fields to Japanese Morphological Analysis. EMNLP 2004: 230-237 - [c11]Taku Kudo, Yuji Matsumoto:
A Boosting Algorithm for Classification of Semi-Structured Text. EMNLP 2004: 301-308 - [c10]Taku Kudo, Eisaku Maeda, Yuji Matsumoto:
An Application of Boosting to Graph Classification. NIPS 2004: 729-736 - 2003
- [c9]Taku Kudo, Yuji Matsumoto:
Fast Methods for Kernel-Based Text Analysis. ACL 2003: 24-31 - [c8]Kaoru Yamamoto, Taku Kudo, Akihiko Konagaya, Yuji Matsumoto:
Protein Name Tagging for Biomedical Annotation in Text. BioNLP@ACL 2003: 65-72 - [c7]Kaoru Yamamoto, Taku Kudo, Yuta Tsuboi, Yuji Matsumoto:
Learning Sequence-to-Sequence Correspondences from Parallel Corpora via Sequential Pattern Mining. ParallelTexts@NAACL-HLT 2003 - 2002
- [c6]Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto:
Revision Learning and its Application to Part-of-Speech Tagging. ACL 2002: 497-504 - [c5]Taku Kudo, Yuji Matsumoto:
Japanese Dependency Analysis using Cascaded Chunking. CoNLL 2002 - 2001
- [c4]Taku Kudo, Yuji Matsumoto:
Chunking with Support Vector Machines. NAACL 2001 - [c3]Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru Yamamoto, Yuji Matsumoto:
Ensembling based on Feature Space Restructuring with Application to WSD. NLPRS 2001: 41-48 - [c2]Tetsuji Nakagawa, Taku Kudo, Yuji Matsumoto:
Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines. NLPRS 2001: 325-331 - 2000
- [c1]Taku Kudo, Yuji Matsumoto:
Japanese Dependency Structure Analysis Based on Support Vector Machines. EMNLP 2000: 18-25
Coauthor Index
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