Hideto Kazawa

According to our database, Hideto Kazawa authored at least 25 papers between 1999 and 2023.

Collaborative distances:

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

2023

Extracting representative subset from extensive text data for training pre-trained language models.

Jun Suzuki, Heiga Zen, Hideto Kazawa

Inf. Process. Manag., May, 2023

2020

Data Troubles in Sentence Level Confidence Estimation for Machine Translation.

Ciprian Chelba, Junpei Zhou, Yuezhang Li, Hideto Kazawa, Jeff Klingner, Mengmeng Niu

CoRR, 2020

2018

Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation.

Akiko Eriguchi, Melvin Johnson, Orhan Firat, Hideto Kazawa, Wolfgang Macherey

CoRR, 2018

2017

An Empirical Study of Language Relatedness for Transfer Learning in Neural Machine Translation.

Raj Dabre, Tetsuji Nakagawa, Hideto Kazawa

Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation, 2017

Overview of the 4th Workshop on Asian Translation.

Toshiaki Nakazawa, Shohei Higashiyama, Chenchen Ding, Hideya Mino, Isao Goto, Hideto Kazawa, Yusuke Oda, Graham Neubig, Sadao Kurohashi

Proceedings of the 4th Workshop on Asian Translation, 2017

2016

A Generalized Dependency Tree Language Model for SMT.

John Richardson, Taku Kudo, Hideto Kazawa, Sadao Kurohashi

Inf. Media Technol., 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

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

2012

Mining Rules for Rewriting States in a Transition-Based Dependency Parser.

Akihiro Inokuchi, Ayumu Yamaoka, Takashi Washio, Yuji Matsumoto, Masayuki Asahara, Masakazu Iwatate, Hideto Kazawa

Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011

A Lightweight Evaluation Framework for Machine Translation Reordering.

David Talbot, Hideto Kazawa, Hiroshi Ichikawa, Jason Katz-Brown, Masakazu Seno, Franz Josef Och

Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

Training a Parser for Machine Translation Reordering.

Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, Franz Josef Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno, Hideto Kazawa

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

A Survey and Empirical Comparison of Object Ranking Methods.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the Preference Learning., 2010

2005

Order SVM: a kernel method for order learning based on generalized order statistics.

Hideto Kazawa, Tsutomu Hirao, Eisaku Maeda

Syst. Comput. Jpn., 2005

The NTT statistical machine translation system for IWSLT2005.

Hajime Tsukada, Taro Watanabe, Jun Suzuki, Hideto Kazawa, Hideki Isozaki

Proceedings of the 2005 International Workshop on Spoken Language Translation, 2005

Supervised Ordering - An Empirical Survey.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Maximal Margin Labeling for Multi-Topic Text Categorization.

Hideto Kazawa, Tomonori Izumitani, Hirotoshi Taira, Eisaku Maeda

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

Estimating Attributed Central Orders: An Empirical Comparison.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the Machine Learning: ECML 2004, 2004

Assigning Gene Ontology Categories (GO) to Yeast Genes Using Text-Based Supervised Learning Methods.

Tomonori Izumitani, Hirotoshi Taira, Hideto Kazawa, Eisaku Maeda

Proceedings of the 3rd International IEEE Computer Society Computational Systems Bioinformatics Conference, 2004

A Deterministic Word Dependency Analyzer Enhanced With Preference Learning.

Hideki Isozaki, Hideto Kazawa, Tsutomu Hirao

Proceedings of the COLING 2004, 2004

2003

Experiments in TREC 2003 Genomics Track at NTT.

Hirotoshi Taira, Tomonori Izumitani, Tsutomu Hirao, Hideki Isozaki, Hideto Kazawa, Eisaku Maeda

Proceedings of The Twelfth Text REtrieval Conference, 2003

2002

A Machine Learning Approach for QA and Novelty Tracks: NTT System Description.

Hideto Kazawa, Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda

Proceedings of The Eleventh Text REtrieval Conference, 2002

Efficient Support Vector Classifiers for Named Entity Recognition.

Hideki Isozaki, Hideto Kazawa

Proceedings of the 19th International Conference on Computational Linguistics, 2002

2001

NTT Question Answering System in TREC 2001.

Hideto Kazawa, Hideki Isozaki, Eisaku Maeda

Proceedings of The Tenth Text REtrieval Conference, 2001

1999

Attribute dependency acquisition from formatted text.

Hideto Kazawa, Kazunori Fujimoto, Kazumitsu Matsuzawa

Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

An elicitation principle of subject probabilities from statements on the Internet.

Kazunori Fujimoto, Kazumitsu Matsuzawa, Hideto Kazawa

Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999