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 (21)：
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
Alex Lamb, Tarin Clanuwat, Siyu Han, Mikel Bober-Irizar, Asanobu Kitamoto. Predicting the Ordering of Characters in Japanese Historical Documents. arXiv. 2021
Lectures and oral presentations (14)：
Japanese Culture and AI
(JST Sakura Science Club 2021)
AI and Minna de Honkoku
(2021)
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset
(2020)
Making Millions of Japanese Historical Documents More Accessible with AI
(Google Solve with AI Symposium 2019)
Pre-modern Japanese Kuzushiji Character Recognition with Deep Learning
(Institute for Physics of Intelligence, the University of Tokyo 2019)
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 Graduate School of Arts and Sciences, Multidisciplinary Science General System Studies Special Research Student
2012 - 2018 Waseda University Graduate School of Arts Letters and Sciences PhD Course Japanese Literature
2010 - 2012 Waseda University Graduate School of Letters Arts and Sciences Master Course Japanese Literature
Professional career (2)：
Doctor of Philosophy (Literature) (Waseda University)
修士(文学) (早稲田大学文学研究科日本語日本文学コース)
Work history (5)：
2024/02 - 現在 Sakana AI Research Scientist
2023/06 - 2023/12 Google DeepMind Senior Research Scientist
2021/09 - 2023/05 Google LLC Google Research, Brain Team Research Scientist
2018/04 - 2021/08 National Institute of Informatics
2018/04 - 2021/08 ROIS-DS Center for Open Data in the Humanities
Awards (9)：
2022/12 - National Institute of Science and Technology Policy, Ministry of Education, Culture, Sports, Science and Technology Nice Step Researcher Developing the technology for Kuzushiji recognition with AI and Deployment for the society
2022/11 - Japan Society for Digital Archive Conference Best Infrastructure Award Kuzushiji Recognition Application “miwo”
2022/10 - The Japan Institute of Design Promotion Good Design Award Kuzushiji Recognition Application “miwo”
2022/04 - Code for Japan Katte Hyoushou Award Excellent award
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
