Welcome to tkasasagi's homepage.

Welcome to tkasasagi’s website

My name is Tarin Clanuwat. I am a research scientist at Sakana AI in Tokyo. I got my PhD in Classical Japanese Literature (文学) from Waseda University, Graduate School of Arts Letters and Science. I specialized in the Tale of Genji’s commentary books from Kamakura and Nambokucho period. Previously I was a senior research scientist at Google Research, Brain team, Google DeepMind, a project assistant professor at ROIS-DS Center for Open Data in the Humanities and also a project researcher at the National Institute of Informatics.

My Research

My Google Scholar

Kuzushiji Recognition Model KuroNet

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My Image

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My current research interest is mainly on Kuzushiji or pre-modern Japanese character recognition with deep learning. I also worked on datasets for machine learning such as KMNIST dataset and KaoKore dataset. I am interested in encouraging humanities researchers to use machine learning and data science in their research because the research in classical literature or history deals with a lot of data all the time.

Kuzushiji Recognition on Mobile Phone App with Flutter

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Because I want the model available and easy to use for everyone, I am also interested in implementing Kuzushiji recognition model with a mobile phone application.

Evo-Ukiyoe and Evo-Nishikie

Sakana AI Blog: 日本の美を学んだAI：浮世絵風画像生成モデルEvo-Ukiyoeと浮世絵カラー化モデルEvo-Nishikie The model learned from over 20,000 Ukiyoe art works belonged to Ritsumeikan University Art Research Center. Evo-Ukiyoe is an image generation model that learned from real Ukiyoe artworks. Evo-Nishikie to help colorized woodblock printed in books. This research aims to be used as an education tools to learn about Japanese rare book illustrations and Ukiyoe art.

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Datasets

I have been working on creating dataset projects.

  1. Kuzushiji Dataset
  2. Kuzushiji-MNIST (KMNIST), Kuzushiji-49 and Kuzushiji-Kanji Dataset
  3. KaoKore Dataset
  4. Ukiyo-e Face Dataset
  5. Digital Typhoon Dataset

Activities

  1. Kuzushiji Recognition Smartphone Application Japan Science and Technology Agency, ACT-X AI Powered Innovation / Creation research grant (Acceptance Rate 21.9%, December 2020)
  2. End-to-end Pre-modern Japanese Kuzushiji Recognition with Deep Learning Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research ,Grant-in-Aid for Early-Career Scientists (April 2019 - March 2022)
  3. Kaggle Kuzushiji Recognition Competition Host (2019)
  4. The Tadashi Yanai Initiative for Globalizing Japanese Humanities, Visiting Graduate Researcher at the University of California, Los Angeles (UCLA) (2016)

Awards

  1. National Institute of Science and Technology Policy (NISTEP), Ministry of Education, Culture, Sports, Science and Technology NISTEP Researcher 2022 (2022)
  2. Japan Society of Digital Archive Best Platform and System award for Kuzushiji Recognition Application “miwo” (2022)
  3. Good Design Award 2022 for Kuzushiji Recognition Application “miwo” (2022)
  4. Code for Japan 勝手表彰 Excellent Award for Kuzushiji Recognition Application “miwo” (2022).
  5. Digital Archive Promotion Consortium Technical Award for Kuzushiji dataset research and KuroNet service (2020).
  6. Japan Society for Digital Archive Academic Award (Research Paper) (2020).
  7. Information Processing Society of Japan (IPSJ) Yamashita Memorial Reseach Award (2019).
  8. Information Processing Society of Japan (IPJS) SIG Computers and Humanities Symposium Best Paper Award (2019).
  9. TC11 (Reading Systems) and TC10 (Graphics Recognition) Summer School on Document Analysis and Recognition Excellent Award (2018).
  10. Japanese Government Scholarship (MEXT) Embassy Recommendation (2008 ~ 2015).

Digital Humanities and Machine Learning Papers

  1. Asanobu Kitamoto, Jun Homma, Tarin Clanuwat Soan Information Processing Society of Japan SIG Humanities and Computer Symposium 2021 (December 2023)(Peer-Reviewed)
  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 (December 2023)(NeurIPS Dataset and Benchmark Track, Spotlight 2023)
  3. Tarin Clanuwat, Asanobu Kitamoto 資料調査のための AI くずし字認識スマホアプリ「みを」 Information Processing Society of Japan SIG Humanities and Computer Symposium 2021 (December 2021)(Peer-Reviewed)
  4. Yingtao Tian, Tarin Clanuwat, Chikahiko Suzuki, Asanobu Kitamoto Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation Proceedings of the 11th International Conference on Computational Creativity (ICCC’21) 300-308 (September 2021)(Peer-Reviewed)
  5. Alex Lamb, Tarin Clanuwat, Siyu Han, Mikel Bober-Irizar, Asanobu Kitamoto Predicting the Ordering of Characters in Japanese Historical Documents arxiv
  6. Lisa Suzuki, Rei Kawakami, Tarin Clanuwat, Asanobu Kitamoto, Toshiaki Nakazawa, Takeshi Naemura Sentence Boundary Estimation of Ancient Japanese Using Bi-LSTM Information Processing Society of Japan SIG Humanities and Computer Symposium 2020 (December 2020)(Peer-Reviewed)
  7. Tarin Clanuwat, Asanobu Kitamoto The Evolution of Kuzushiji Recognition Research and Services Information Processing Society of Japan SIG Humanities and Computer Symposium 2020 (December 2020)(Peer-Reviewed)
  8. Yingtao Tian, Chikahiko Suzuki, Tarin Clanuwat, Mikel Bober-Irizar, Alex Lamb, Asanobu Kitamoto KaoKore: A Pre-modern Japanese Art Facial Expression Dataset, Proceedings of the 11th International Conference on Computational Creativity (ICCC’20) 415 1.422 (September 2020)(Peer-Reviewed)
  9. Alex Lamb, Tarin Clanuwat, Asanobu Kitamoto KuroNet: Regularized Residual U-Nets for End-to-End Kuzushiji Character Recognition SN Computer Science (May 2020)(Peer-reviewed)
  10. Asanobu Kitamoto, Tarin Clanuwat AI Kuzushiji Recognition and a Path to Full-Text Search for Historical Documents Bulletin of the Japan Special Libraries Association vol 300, Page 26 1.32 (May 2020)(Invited)
  11. 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 35(3) Page 366 1.376 (May 2020)(Invited Paper)
  12. Asanobu Kitamoto, Tarin Clanuwat , Alex Lamb , Mikel Bober-Irizar Progress and Results of Kaggle Machine Learning Competition for Kuzushiji Recognition The Information Processing Society of Japan, SIG Computers and the Humanities (December 2019)(Peer-reviewed)
  13. Tarin Clanuwat, Alex Lamb, Asanobu Kitamoto KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning The International Conference on Document Analysis and Recognition (ICDAR) (September 2019)(Peer-reviewed)
  14. Asanobu Kitamoto, Tarin Clanuwat, Tomo Miyazaki, Kazuaki Yamamoto Analysis of Character Data: Potential and Impact of Kuzushiji Recognition by Machine Learning Journal of IEICE (Institute of Electronics, Information, and Communication Engineers) 102(6) 563 1.568 (June 2019)(Peer-reviewed)(Invited)
  15. Tarin Clanuwat Kuzushiji Character Recognition with AI Heianchō Bungaku Kenkyū [Research into Heian-period Literature] 27 (March 2019)(Peer-reviewed)(Invited)
  16. Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto A human-inspired recognition system for pre-modern Japanese historical documents IEEE Access 2019 (Peer-reviewed)
  17. Tarin Clanuwat, Alex Lamb, Asanobu Kitamoto End-to-End Pre-Modern Japanese Character (Kuzushiji) Spotting with Deep Learning Information Processing Society of Japan, SIG Computers and the Humanities (Peer-reviewed)(December 2018)
  18. Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, David Ha Deep Learning for Classical Japanese Literature Conference on Neural Information Processing Systems (NeurIPS) Machine Learning for Creativity and Design Workshop (December 2018)(Peer-reviewed)
  19. Asanobu Kitamoto, Mika Ichino, Chikahiko Suzuki, Tarin Clanuwat Historical Big Data: Reconstructing the Past Through the Integrated Analysis of Historical Data Japanese Association for Digital Humanities (September 2018)(Peer-reviewed)

Classical Japanese Literature Papers

  1. Tarin Clanuwat Shichigo Genji and Hikarugenji Monogatarishou (東山御文庫蔵『七毫源氏』と『光源氏物語抄』) Bungaku Gogaku(文学・語学) (June 2018)(Peer-reviewed)
  2. Tarin Clanuwat The Research on the Tale of Genji Commentary Books from 13th to 15th Century (中世における『源氏物語』古注釈の研究) Doctoral Dissertation, Waseda University (March 2018)(Peer-reviewed)
  3. Tarin Clanuwat Shichigo Genji and Genji Commentaries from Kamakura period (東山御文庫蔵『七毫源氏』と鎌倉時代の源氏古注釈) Kokubungaku Kenkyu (国文学研究) vol 182 (July 2017)(Peer-reviewed)
  4. Tarin Clanuwat The Relationship between Suigenshō and Aoi no Maki Kochū*** (『葵巻古注』と『水原抄』の関係 ―鎌倉時代の『源氏物語』古注釈の利用― Waseda Rilas Journal 3 (October 2015)(Peer-reviewed)
  5. Tarin Clanuwat The Uniqueness of 3 Books Version Shimeishō from the National Archives of Japan*** (内閣文庫蔵三冊本『紫明抄』の独自性) Kodai Chūsei Bungaku Ronkō The Study of Ancient and Medieval Japanese Literature vol 31 (October 2015)
  6. Tarin Clanuwat The Comparison between Aoi no Maki Kochū (Nanamibon and Yoshidabon) and Other Genji Commentaries from the 13th Century (『葵巻古注』（七海本・吉田本）の注記―鎌倉時代の『源氏物語』古注釈との比較から―) Heianchō Bungaku Kenkyū [Research into Heian-period Literature] Journal (平安朝文学研究) vol 21 (March 2013)(Peer-reviewed)
  7. Tarin Clanuwat Research on Kuyobunko “Genjimonogatarisho” Commentary Book (『源氏物語』古注釈の研究―九曜文庫本『源氏物語抄』を中心に―) Waseda University Master Thesis, (March 2012)(Peer-reviewed)

Conference Presentations

  1. 資料調査のための AI くずし字認識スマホアプリ「みを」 Information Processing Society of Japan SIG Humanities and Computer Symposium 2021 (December 2021)
  2. The Evolution of Kuzushiji Recognition Research and Services Information Processing Society of Japan SIG Humanities and Computer Symposium 2020 (December 2020)
  3. KaoKore: A Pre-modern Japanese Art Facial Expression Dataset , the 11th International Conference on Computational Creativity (ICCC’20) (September 2020)
  4. KuroNet: Pre-Modern Japanese Kuzushiji Character Recognition with Deep Learning , The International Conference on Document Analysis and Recognition (ICDAR) (September 2019)
  5. Deep Learning for Classical Japanese Literature , Neural Information Processing Systems (NeurIPS), Machine Learning for Creativity and Design Workshop (December 2018)
  6. End-to-End Pre-Modern Japanese Character (Kuzushiji) Spotting with Deep Learning , Neural Information Processing Systems (NeurIPS), Women in Machine Learning Workshop (WiML) (December 2018)
  7. End-to-End Pre-Modern Japanese Character (Kuzushiji) Spotting with Deep Learning 、情報処理学会人文科学とコンピュータシンポジウム (December 2018)
  8. More than just a Love Story: Medieval Genji as Gate to Knowledge 、Asian Studies Conference Japan (ASCJ) (June 2015)
  9. 内閣文庫蔵三冊本『紫明抄』の位置 、中古文学会平成26年度秋季大会 (October 2014)
  10. 内閣文庫蔵三冊本『紫明抄』の注釈内容 、全国大学国語国文学会第108回大会 (December 2013)
  11. 九曜文庫本『源氏物語抄』と『水原抄』『珊瑚秘抄』『千鳥抄』 , 第36回国際日本文学研究集会 (October 2012)
  12. 『葵巻古注』と『光源氏物語抄』 ,平安朝文学研究会 (September 2012)

Articles

  1. Tarin Clanuwat Fumi Vol. 14 KuroNet: Kuzushiji Recognition with AI The National Institute of Japanese Literature (June 2020)

Invited Talks

  1. Invited talk at the National Institute of Japanese Literature on “Large Language Models and Japanese Literature”. (March 2024)
  2. Invited talk at the University of Tokyo. Symposium on “Frontiers of Asian Studies in Oriental Studies: Application and Challenges of AI”. (December 2023)
  3. Invited Lecture at Japan Women’s University (November 2023)
  4. Invited Presentation at Waseda University Classical Japanese Literature symposium. (November 2023)
  5. Invited Talk at the Science Council of Japan (September 2023)
  6. Invited Presentation at the Bibliographic studies symposium 2023. (August 2023)
  7. Invited Talk at the University of Tokyo, Department of Information and Communication Engineering (July 2023)
  8. Invited Talk at the Ministry of Education, National Institute of Science and Technology Policy (NISTEP) (June 2023)
  9. AIくずし字認識研究の可能性 ｢デジタル日本学｣の可能性 symposium, Global Japanese Studies Education and Research Incubator, Osaka University (December 2022)
  10. AI for Kuzushiji Recognition Research: What, Why and How? The Digital Turn in Early Modern Japanese Studies Conference, University of Cambridge, UK (December 2022)
  11. 「みをつくし」プロジェクト：AIくずし字認識研究の展開 The 8th International Conference on Pre-modern Japanese Texts、the National Institute of Japanese Literature (November 2022)
  12. 機械学習によるくずし字認識への挑戦 The Society for Japanese Linguitics Conference Special invited talk (October 2022)
  13. The journey to make billions of Japanese historical documents accessible the Digital Humanities Conference 2022 Keynote (July 2022)
  14. Deciperting pre-modern Japanese manuscripts: Kuzushiji recognition systems with machine learning Google Fellows Summit (July 2022)
  15. AIによるくずし字認識研究の現状と課題 Yamagata University Invited talk for students (May 2022)
  16. AIによるくずし字認識の研究 Yanai Initiative］Seminar: An Invitation to Digital Humanities: AI, Research Collaboration, and Digital Transformation, Haruki Murakami Library, Waseda University (January 2022)
  17. AIくずし字認識アプリ「みを」：機械学習の運用の課題, NeurIPS Meetup Japan 2021 (December 2021)
  18. “miwo” AI Kuzushiji Recognition Application for Japanese Historical Document, Ritsumeikan University Art Research Center (December 2021)
  19. AIくずし字認識アプリ「みを」プロジェクトから学んだこと, Google Cloud MLSummit invited talk, Japan (November 2021)
  20. miwo Kuzushiji recognition smartphone application with AI, The Alan Turing Inistutite, UK (July 2021)
  21. Google Spotlight on Women in Research APAC, Google Asia & Pacific (May 2021)
  22. くずし字とAI, Lenovo Japan , Tokyo, Japan(May 2021)
  23. Nissan Seminar: Deciphering pre-modern Japanese manuscripts: kuzushiji recognition systems and AI, Nissan Institute of Japanese Studies, Oxford School of Global and Area Studes, Universoty of Oxford, UK (June 2021)
  24. Japanese Culture and AI, JST Sakura Science Club, Japan Science and Technology Agency (March 2021)
  25. AI and Minna de Honkoku, Minna de Honkoku Summit (Feb 2021)
  26. Kuzushiji and Premodern Japanese Studies: Learning Resources and Artificial Intelligence Initiatives, Centre for Japanese Research, the University of British Columbia, Canada (July 2020)
  27. International Women’s Day, Women Techmakers Tokyo 2020 日本文化とAI：くずし字認識の研究, Google Developer Group Tokyo (May 2020)
  28. 日本文化とAI：くずし字認識, the University of Electro-Communications、Tokyo (May 2020)
  29. Kaggle Kuzushiji Recognition Competition​, Kaggle Days Tokyo, Google Japan (December 2019)
  30. ＡＩによるくずし字認識、古典文学と情報学の世界的なコラボレーション​, 総研大文化フォーラム2019, the National Institute of Japanese Literature​ (December 2019)
  31. Kuzushiji and AI : A Case Study of Multidisciplinary Research​, the Japan Foundation (November 2019)
  32. くずし字ｘAIオンラインで世界に開く日本古典籍​ , Keio University Hiyoshi Campus、Research Institute for Digital Media and Content (November 2019)
  33. Women in Tech Celebration, Tech Talk: Kuzushiji Character Recognition​, Google Japan​ (November 2019)
  34. 世界中のアイデアを集めるくずし字コンペの開催​, 日本文化とAIシンポジウム, 一橋講堂​ (November 2019)
  35. Making Millions of Japanese Historical Documents More Accessible with AI, Google Solve with AI, Google Japan​ (July 2019)
  36. Pre-modern Japanese Kuzushiji Character Recognition with Deep Learning​, the Univerity of Tokyo、Institute for Physics of Intelligence​ (April 2019)
  37. End-to-End Pre-Modern Japanese Character (Kuzushiji) Recognition with Deep Learning, Women in Machine Learning, Machine Learning Tokyo Meetup, Google Japan (January 2019)

Education

Media

  1. The Government of Japan Official #WonderWomanWednesday Twitter1 Twitter2 Facebook
  2. Google Story How TensorFlow AI is helping preserve Japanese culture

TV

  1. NHK BS1 Cool Japan “Character” (2020)

  2. CCTV 天下财经:秒读古籍 日本AI快速辨识手写体文献 (2019)

  3. CNBC TV-18 Young Turks: Here’s an accessibility app designed for the deaf or hard of hearing (2019)

Interviews and News Articles

  1. Academics, startup release AI tool that makes ukiyo-e Asahi Shimbun 2024-8-8
  2. Sakana AI drops image models to generate Japan’s traditional ukiyo-e artwork VentureBeat 2024-7-22
  3. Sakana AI、浮世絵風画像生成モデル「Evo-Ukiyoe」と浮世絵カラー化モデル「Evo-Nishikie」公開 AISmiley 2024-7-31
  4. 浮世絵生成AI「Evo-Ukiyoe」と浮世絵カラー化AI「Evo-Nishikie」が登場 Gigazine 2024-7-31
  5. 日本語プロンプトから“浮世絵風画像”を生成できる「Evo-Ukiyoe」、日本発のSakana AIが公開 Windows Forest 22024-7-23
  6. 浮世絵風の画像を生成するAIモデル、日本のAIベンチャーSakana AIが発表 Ascii x AI 2024-7-22
  7. Sakana AI株式会社、浮世絵風画像生成モデルと浮世絵カラー化モデルを公開 Current Awareness Portal 2024-7-21
  8. Sakana.ai、浮世絵風イラスト生成AIを公開　浮世絵をカラー化するAIも ITmedia news 2024-7-22
  9. Sakana AI lets you turn pics into traditional Japanese art Inquirer.Net 2024-7-23
  10. Sakana AIが新たな浮世絵生成モデルを開発　日本の伝統美をAIで再現 Ledge.ai 20204-7-26
  11. Sakana AI、浮世絵を蘇らせるAIモデルを発表 Bridge 2024-7-23
  12. 浮世絵風の画像をAIが生成｜日本文化を学んだ新技術が公開 TechReport 2024-7-23
  13. 本格的な“浮世絵風”画像生成AI「Evo-Ukiyoe」　Sakana AI ImpressWatch 2024-7-22
  14. Sakana.ai、浮世絵風イラスト生成AIを公開　浮世絵をカラー化するAIも goo news 2024-7-22
  15. 浮世絵風の絵を出力できる生成AI PCWatch 2024-7-24
  16. 浮世絵を描く生成AI、古典文学研究者が開発　サカナAIが無料公開 Asahi Shimbun 2024-7-22
  17. Introducing the Ukiyo-e generation AI ‘Evo-Ukiyoe’ and the Ukiyo-e colorization AI ‘Evo-Nishikie’ Gigazine 2024-7-23
  18. Sakana AI Launches New Models for Ukiyo-e Art Generation and Colorization Maginative 2024-7-22
  19. AIくずし字認識アプリ「みを」が拓く未来『歴史研究』 Vol 700 2022-05-16
  20. 人文学のAI活用広がる　くずし字解読、絵画資料分析も 日本経済新聞, 2021-01-31
  21. 源氏物語も春画の文字も読めちゃう！AIくずし字認識アプリ「みを（miwo）」開発者インタビュー 小学館「和樂」ウェブ　2021-10
  22. 源氏物語が好きすぎてAIくずし字認識に挑戦でグーグル入社 タイ出身女性が語る「前人未到の人生」 LedgeAI 2021-09
  23. ［顔］難解？外国語なので当然…くずし字を解読するアプリを開発　カラーヌワット・タリンさん読売新聞, 2021-07-11
  24. 図書館情報学とAIの新展開 ーAI文字認識×クラウドソーシングで史料のテキスト化を加速【第2回 人工知能学会誌コラボ】 AINOW, 2020-11-02
  25. Dataset Search：Googleによる「データセット検索」サイト：AI・機械学習のデータセット辞典, ＠IT, 2020-07-15
  26. くずし字解読AI駆使 ,読売新聞夕刊, 2020-06-06
  27. 古文書と災害（４）くずし字の読解 難漢字 AIにおまかせ きっかけは源氏物語, 東京新聞, 朝刊4面, 2020-03-07
  28. 古文書と災害 （４）くずし字の読解　難漢字　AIにおまかせ, 中日新聞, 夕刊5面, 2020-03-17
  29. 「未来技術の旗手たち AIが古文書の”くずし字”を読み、日本の文字文化の扉を開く」 （商工ジャーナル 46(3), 54-57, 2020-03, 商工中金経済研究所）
  30. Around DH 2020 KuroNet.
  31. ＡＩがくずし字を読む時代がやってきた, ふみ第13号, 1-3ページ, 2020-01-15
  32. ［とれんど］きっかけは「源氏物語」 論説委員　鳥山　忠志, 読売新聞, 2020-01-18
  33. KMNIST／Kuzushiji-MNIST：日本古典籍くずし字（手書き文字）データセット, AI・機械学習のデータセット辞典 - ＠IT, 2020-01-27
  34. 日本文化とAIシンポジウム2019～AIがくずし字を読む時代がやってきた～, STI Updates, 2020-01-28
  35. 【保存版】オープンデータ・データセット100選 -膨大なデータを活用しよう！, AINOW, 2020-03-02
  36. 「美空ひばり」「ラーメン」「くずし字」…日本のAI技術の現状, Asagei Biz-アサ芸ビズ, 2019-12-21
  37. 「日本文化とAIシンポジウム2019　～AIがくずし字を読む時代がやってきた～」の発表資料とポスターが公開される, カレントアウェアネス, 2019-11-19
  38. How Machine Learning Can Help Unlock the World of Ancient Japan, The Gradient, 2019-11-17
  39. 「日本語のくずし字をAIで活字に直す試み」の活発化に海外の研究者らも注目, GIGAZINE, 2019-11-19
  40. AIとOCR連携の可能–AIで“くずし字”を判別に挑む, ZDNet Japan, 2019-11-27
  41. 宝庫の鍵 ロバート キャンベル, 日本経済新聞 夕刊6面, 2019-11-27
  42. 日本古来の「くずし字」にＡＩで挑む　解読の競技大会は中国が優勝, 産経新聞, 2019-11-30
  43. 「くずし字」ＡＩが解読 ラーメン判別法も応用！, NHK WEB特集, 2019-12-02
  44. ラーメン判別法も応用 古文書の「くずし字」AIが解読, Nらじセレクト, 2019-12-09
  45. 難解な「くずし字」がＡＩでサクサク読める！読まれないままの文献多く”予想外の事実”見つかる可能性も, MBSテレビ「ミント！」, 2019-12-10
  46. AIでくずし字”の解読に挑む, NHK NEWS WEB, 2019-11-11
  47. 人文学オープンデータ共同利用センター（CODH）、日本古典籍くずし字データセットに字形データを大幅に追加：データセットを活用した無料のAIくずし字OCRサービスも公開, カレントアウェアネス, 2019-11-12
  48. くずし字解読　ＡＩの実力は？ ｜サイカルジャーナル｜NHKオンライン, NHK, 2019-11-20
  49. 新機能を体験できるサービス「江戸マップβ版」「くずし字データセット閲覧ビューア」も公開, カレントアウェアネス, 2019-11-06
  50. ＡＩで古文書を読む　埋もれた情報を発掘, 産経新聞, 2019-10-18
  51. 【関西（知）探　解】くずし字解読　ＡＩにおまかせ、史料を眠らせない, 産経新聞 大阪 朝刊 21面, 2019-10-19
  52. ［サイエンスＲｅｐｏｒｔ］「くずし字」　ＡＩが解読　６８万字分を学習, 東京読売新聞 朝刊 34面, 2019-10-20
  53. サイエンス　Report「くずし字」　AIが解読　68万字分を学習　精度90%, 読売新聞 朝刊34面, 2019-10-20
  54. サイエンス　Report「くずし字」　AIが解読　68万字分を学習　精度90%, 読売新聞（大阪） 朝刊23面, 2019-10-20
  55. 古典のＡＩ解読　埋もれた知を掘り起こしたい, 読売新聞 社説, 2019-10-25
  56. 難読古文書　一気に解読　筆書き崩し字活字に　市民参加型でたのしく　AI開発コンペ実施, 徳島新聞 夕刊1面, 2019-11-06
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