Research field (2)：
Intelligent informatics
, Literature - Japanese
Research keywords (5)：
Machine Learning
, Deep Learning
, Commentary Book
, Pre-modern Japanese Literature
, The Tale of Genji
Research theme for competitive and other funds (2)：
2020 - 2023 資料調査のためのオンデバイスくずし字認識
2019 - 2022 End-to-end Pre-modern Japanese Kuzushiji Recognition with Deep Learning
Papers (20)：
Lisa Suzuki, Rei Kawakami, Tarin Clanuwat, Asanobu Kitamoto, Toshiaki Nakazawa, Takeshi Naemura. Sentence Boundary Estimation of Ancient Japanese Using Bi-LSTM. The Information Processing Society of Japan, SIG Computers and the Humanities 2020. 2020. 17-22
Tarin Clanuwat, Asanobu Kitamoto. The Evolution of Kuzushiji Recognition Research and Services. The Information Processing Society of Japan, SIG Computers and the Humanities 2020. 2020. 3-10
Alex Lamb, Tarin Clanuwat, Asanobu Kitamoto. KuroNet: Regularized Residual U-Nets for End-to-End Kuzushiji Character Recognition. SN Computer Science. 2020. 1. 3
Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto. KaoKore: A Pre-modern Japanese Art Facial Expression Dataset. 2020
Kuzushiji Single Character Recognition on IIIF
Tarin Clanuwat 2019 -
Kuzushiji-MNIST dataset
Tarin Clanuwat 2018 -
the Hentaigana Application development, a collaboration between UCLA and Waseda University as a project of the Tadashi Yanai Initiative for Globalizing Japanese Humanities
Tarin Clanuwat 2015 - 2015
Education (3)：
2017 - 2018 The University of Tokyo General System Studies Special Research Student
2012 - 2018 Waseda University Japanese Literature
2010 - 2012 Waseda University Japanese Literature
Professional career (2)：
Doctor of Philosophy (Literature) (Waseda University)
2020/03 - Japan Society for Digital Archive Academic Award (Research Paper) Progress and Results of Kaggle Machine Learning Competition for Kuzushiji Recognition
2019/09 - Information Processing Society of Japan Yamashita Memorial Research Award End-to-End Pre-Modern Japanese Character (Kuzushiji) Spotting with Deep Learning
2019/02 - IPSJ Jinmoncom Symposium Best paper award End-to-End Pre-Modern Japanese Character (Kuzushiji) Spotting with Deep Learning
2018/07 - TC10/TC11 Summer School on Document Analysis and Recognition Excellent Award
