Abstract
The goal of this project was to reconstitute and storage the text of Aṣṭādhyāyī (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 Devanāgari 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 sūtra 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.- Anthology ID:
- 2022.wildre-1.16
- Volume:
- Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Girish Nath Jha, Sobha L., Kalika Bali, Atul Kr. Ojha
- Venue:
- WILDRE
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 90–96
- Language:
- URL:
- https://aclanthology.org/2022.wildre-1.16
- DOI:
- Cite (ACL):
- Baldev Khandoliyan and Ram Kishor. 2022. Computational Referencing System for Sanskrit Grammar. In Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference, pages 90–96, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Computational Referencing System for Sanskrit Grammar (Khandoliyan & Kishor, WILDRE 2022)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2022.wildre-1.16.pdf