@inproceedings{khandoliyan-kishor-2022-computational,
    title = "Computational Referencing System for {S}anskrit Grammar",
    author = "Khandoliyan, Baldev  and
      Kishor, Ram",
    editor = "Jha, Girish Nath  and
      L., Sobha  and
      Bali, Kalika  and
      Ojha, Atul Kr.",
    booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/ingest-emnlp/2022.wildre-1.16/",
    pages = "90--96",
    abstract = "The goal of this project was to reconstitute and storage the text of Aṣṭ{\={a}}dhy{\={a}}y{\={i}} (AD) in a computer text system so that everyone may read it. The proposed work was to do study the structure of AD and to create a relational database system for storing and interacting with AD. The system is available online, including Devan{\={a}}gari Unicode and other major Indian characters as input and output, MS SQL Server, a Relational Database Management System (RDBMS)-based system, and Java Server Pages (JSP) were used. For AD, the system works as a multi-dimensional interactive knowledge-based computer system. The approach can also be applied to all Sanskrit s{\={u}}tra texts that have a similar format. Sanskrit heritage texts are projected to benefit from the system{'}s preservation and promotion. A research is being made here for preparing an AD text as a computer aided dynamic search, learning and instruction system in the Indian context."
}