Sanskrit Knowledge-based Systems: Annotation and Computational Tools

TL;DR

This paper presents a comprehensive framework for developing Sanskrit knowledge systems, including tools for annotation, knowledge graph construction, and web interfaces, to improve Sanskrit text analysis and language processing.

Contribution

It introduces novel annotation tools, a framework for automated knowledge graph construction, and diverse web-based tools, advancing computational Sanskrit research.

Findings

Enhanced accuracy in Sanskrit text analysis

Improved accessibility of Sanskrit knowledge resources

Facilitated preservation and understanding of Sanskrit texts

Abstract

We address the challenges and opportunities in the development of knowledge systems for Sanskrit, with a focus on question answering. By proposing a framework for the automated construction of knowledge graphs, introducing annotation tools for ontology-driven and general-purpose tasks, and offering a diverse collection of web-interfaces, tools, and software libraries, we have made significant contributions to the field of computational Sanskrit. These contributions not only enhance the accessibility and accuracy of Sanskrit text analysis but also pave the way for further advancements in knowledge representation and language processing. Ultimately, this research contributes to the preservation, understanding, and utilization of the rich linguistic information embodied in Sanskrit texts.