Skip to main content
Have a personal or library account? Click to login
Student Movement Documents and Related Social Movement Materials in Postwar Japan: A Dataset of Images, Layout Annotations, and Line-Level Transcriptions Cover

Student Movement Documents and Related Social Movement Materials in Postwar Japan: A Dataset of Images, Layout Annotations, and Line-Level Transcriptions

Open Access
|Sep 2026

References

  1. Boillet, M., Kermorvant, C., & Paquet, T. (2022). Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods. International Journal on Document Analysis and Recognition, 25, 95–114. 10.1007/s10032-022-00395-7
  2. Clanuwat, T., Bober-Irizar, M., Kitamoto, A., Lamb, A., Yamamoto, K., & Ha, D. (2018). Deep Learning for Classical Japanese Literature. 10.48550/arXiv.1812.01718
  3. IIIF Consortium (2020). IIIF Presentation API 3.0. Retrieved from https://iiif.io/api/presentation/3.0/ (Accessed 5 August 2026).
  4. Katakura, S., Tsukagoshi, Y., Hanzawa, T., & Yanagihara, S. (2025). Tohoku University Digital Archive: Characteristics of Archived Materials and Prospects for AI Utilization. Journal of Japan Society of Information and Knowledge, 35(2), 227–232. 10.2964/jsik_2025_020
  5. Martínek, J., Lenc, L., & Král, P. (2020). Building an Efficient OCR System for Historical Documents with Little Training Data. Neural Computing and Applications, 32, 17209–17227. 10.1007/s00521-020-04910-x
  6. Shen, Z., Zhang, K., & Dell, M. (2020). A Large Dataset of Historical Japanese Documents with Complex Layouts. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (pp. 2336–2343). Retrieved from https://openaccess.thecvf.com/content_CVPRW_2020/papers/w34/Shen_A_Large_Dataset_of_Historical_Japanese_Documents_With_Complex_Layouts_CVPRW_2020_paper.pdf
  7. Steinhoff, P. G. (2013). Memories of New Left Protest. Contemporary Japan, 25(2), 127–165. 10.1515/cj-2013-0007
DOI: https://doi.org/10.5334/johd.629 | Journal eISSN: 2059-481X
Language: English
Page range: 118 - 118
Submitted on: Aug 5, 2026
Accepted on: Aug 24, 2026
Published on: Sep 3, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Shumpei Katakura, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.