Grant-in-Aid for Scientific Research (KAKENHI): Fund for the Promotion of Joint International Research (Fostering Joint International Research (B)) 2021-2026
京都大学

Principal Investigator: Kyoko Amano (Graduate School of Letters, Kyoto University)

The origins of many ancient texts remain a mystery. This project is an attempt to uncover the origins of the ancient Indian literature, the Vedas, through a collaborative approach using linguistics, philology, digital humanities and visual analytics.

This project is the successor to “Chronological and Geographical Features of Ancient Indian Literature Explored by Data-Driven Science” (2020-2021), which was supported by the Supporting Program for Interaction-based Initiative Team Studies (SPIRITS) of Kyoto University as an Interdisciplinary type project, in the priority area of humanities and social sciences.

This website continues to publish the past information (announcements and events) of the SPIRITS project.

This project is an international collaborative research project with Oliver Hellwig, University of Dusseldorf, Germany.

News

  • 2024/01/25

    On March 19-20, 2024, a workshop titled “Exploring the Potential of Utilizing Data from Sanskrit Literature” will be held at Lecture Room 2, Graduate School of Letters, Kyoto University. The invited speaker for the event is Oliver Hellwig from the University of Zurich.
    Please register using Google form here: https://forms.gle/NcDrsim8psM5xgfd9 
    Download flyer: PDF 4MB

  • 2024/01/25

    On August 8, 2023, at the 51st Visualization Symposium Japan 2023 held at Grand Park Otaru, Hiroaki Natsukawa and Kyoko Amano presented on the theme “Visual Analysis of Co-occurrence Relationships in Ancient Indian Liturgical Texts.”
    Click here for the program: https://www.vsj.jp/symp2023/program.html 

  • 2024/01/25

    During the DH2023 Workshop held at the University of Graz, in the session “SIG-DLS Seven Years on” on July 10, 2023, Yuki Kyogoku, Yuki Tsukagoshi, So Miyagawa, and Kyoko Amano presented on the topic “Comparative Analysis of Vedic Sanskrit Documents Using Doc2Vec and Transformer Models.” In the same session, with So Miyagawa as the lead author, the team also presented “Analyzing Text Similarity in Vedic Sanskrit Texts: A Bipartite Approach Using Stylometry and Text Reuse Detection.”
    Click here for the program: https://dls.hypotheses.org/1340 

  • 2024/01/25

    Yuki Tsukagoshi published “The Current State of Vedic Literature Studies from the Perspective of Digital Humanities” in Issue 142 [Part 1] of Digital Humanities Monthly. The publication is scheduled to appear later on the Digital Humanities Monthly website: https://www.dhii.jp/DHM/ 

  • 2023/06/20

    Visualization tool for the relationships among the Vedic texts using co-occurrence of ritual mantras is available here:
    http://ancient-india.natsukawa-lab.jp/