Clanuwat Tarin

カラーヌワットタリン | Clanuwat Tarin

Affiliation and department：
Job title： Research Scientist
Homepage URL (1)： http://tkasasagi.github.io/

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
Asanobu KITAMOTO, Tarin CLANUWAT, Mikel BOBER-IRIZAR. Kaggle Kuzushiji Recognition Competition - Challenges of Hosting a World-Wide Competition in the Digital Humanities -. Journal of Japanese Society for Artificial Intelligence. 2020. 35. 3. 366-376
Tarin CLANUWAT, Alex LAMB, Asanobu KITAMOTO. KuroNet: End-to-end Kuzushiji Transcription System for Understanding Historical Documents. Fourth Convention of Japan Society for Digital Archive. 2020. 4. 2. 165-168

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MISC (2)：

Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian, Tarin Clanuwat. Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones. 2023
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 Predicting the Ordering of Characters in Japanese Historical Documents.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Making Millions of Japanese Historical Documents More Accessible with AI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)

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Works (3)：

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)：

Work history (5)：

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
2020/07 - デジタルアーカイブ推進コンソーシアム(DAPCON) 技術賞 KuroNetくずし字認識サービス/くずし字データセット

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