Jun'ichi Tsujii

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Professor Jun'ichi Tsujii
Born (1949-02-07) February 7, 1949 (age 65)
Nationality Japanese
Fields Natural language processing
Institutions University of Tokyo
University of Manchester
National Centre for Text Mining
Alma mater Kyoto University
Doctoral advisor Makoto Nagao
Notable awards Purple Ribbon Medals of Honor (Japan)

Jun'ichi Tsujii (辻井 潤一 Tsujii Jun'ichi?, born 7 February 1949) is a Japanese computer scientist specializing in natural language processing and text mining, particularly in the field of biology and bioinformatics.[1][2]


Tsujii received his Bachelor of Engineering, Master of Engineering and Ph.D degrees in electrical engineering from Kyoto University in 1971, 1973, and 1978 respectively. He was Assistant Professor and Associate Professor at Kyoto University, before accepting a position as Professor of Computational Linguistics at the University of Manchester Institute of Science and Technology (UMIST) in 1988. He was President of the Association for Computational Linguistics (ACL) in 2006, and has been a permanent member of the International Committee on Computational Linguistics (ICCL) since 1992.


Tsujii is a Principal Researcher at Microsoft Research Asia (MSRA). Before joining MSRA, he was a professor at the University of Tokyo, where he belonged to both the School of Inter-faculty Initiative on Informatics and the Graduate School of Information Science and Technology. He is currently also the Chair of Text Mining and Scientific Director of the National Centre for Text Mining (NaCTeM) at the University of Manchester in the United Kingdom.


On 14 May 2010, Tsujii was awarded the Medals of Honor with Purple Ribbon, one of Japan's highest awards, presented to influential contributors in the fields of art, academics or sports.


  1. ^ List of publications from the DBLP Bibliography Server
  2. ^ Tsujii, J. I. (2011). "Computational Linguistics and Natural Language Processing". Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science 6608. pp. 52–31. doi:10.1007/978-3-642-19400-9_5. ISBN 978-3-642-19399-6.  edit