Uploaded August 2020 | Updated September 2026, 3 weeks ago
Kuzushiji & Premodern Japanese Studies: Learning Resources and Artificial Intelligence Initiatives
Organized by the Centre for Japanese Research at the University of British Columbia
cjr.iar.ubc.ca
Originally presented on July 23, 2020
Presenter: Dr. Tarin Clanuwat (ROIS-DS)
Host: Dr. Christina Laffin (UBC)
Coordinator & Video Editor: Bianca Chui
Video Editor: José Echániz
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Reading kuzushiji is an essential skill for the study of premodern Japan but gaining kuzushiji proficiency can be a challenge. This talk will offer a brief introduction to approaches to learning how to decipher kuzushiji. Dr. Clanuwat will show online and offline kuzushiji learning resources and demonstrate how to use KuroNet, an artificial intelligence based kuzushiji recognition system used to transcribe premodern Japanese documents. She will also discuss current limitations and future possibilities in kuzushiji recognition systems.
Dr. Tarin Clanuwat is a project researcher at the National Institute of Informatics and a project assistant professor at ROIS-DS Center for Open Data in the Humanities. She received her PhD from the Graduate school of Letters Arts and Sciences at Waseda University, where she specialized in Kamakura-era Tale of Genji commentaries. In 2018, she developed an AI-based kuzushiji recognition model called KuroNet. In 2019, she hosted a Kaggle machine learning competition for kuzushiji recognition which attracted over 300 machine learning researchers and engineers from around the world. Her AI and kuzushiji research won the Information Processing Society of Japan Yamashita Memorial Research Award.
For list of resources, please visit: cjr.iar.ubc.ca/kuzushiji-clanuwat
-----------------------------------
Join our mailing list here: cjr.iar.ubc.ca/news-events/newsletters
Follow us on Twitter: twitter.com/ubcCJR
Kuzushiji & Premodern Japanese Studies: Learning Resources and Artificial Intelligence Initiatives
Organized by the Centre for Japanese Research at the University of British Columbia
cjr.iar.ubc.ca
Originally presented on July 23, 2020
Presenter: Dr. Tarin Clanuwat (ROIS-DS)
Host: Dr. Christina Laffin (UBC)
Coordinator & Video Editor: Bianca Chui
Video Editor: José Echániz
-----------------------------------
Reading kuzushiji is an essential skill for the study of premodern Japan but gaining kuzushiji proficiency can be a challenge. This talk will offer a brief introduction to approaches to learning how to decipher kuzushiji. Dr. Clanuwat will show online and offline kuzushiji learning resources and demonstrate how to use KuroNet, an artificial intelligence based kuzushiji recognition system used to transcribe premodern Japanese documents. She will also discuss current limitations and future possibilities in kuzushiji recognition systems.
Dr. Tarin Clanuwat is a project researcher at the National Institute of Informatics and a project assistant professor at ROIS-DS Center for Open Data in the Humanities. She received her PhD from the Graduate school of Letters Arts and Sciences at Waseda University, where she specialized in Kamakura-era Tale of Genji commentaries. In 2018, she developed an AI-based kuzushiji recognition model called KuroNet. In 2019, she hosted a Kaggle machine learning competition for kuzushiji recognition which attracted over 300 machine learning researchers and engineers from around the world. Her AI and kuzushiji research won the Information Processing Society of Japan Yamashita Memorial Research Award.
For list of resources, please visit: cjr.iar.ubc.ca/kuzushiji-clanuwat
-----------------------------------
Join our mailing list here: cjr.iar.ubc.ca/news-events/newsletters
Follow us on Twitter: twitter.com/ubcCJR
