Sanskrit Knowledge-based Systems: Annotation and Computational Tools
This work addresses the problem of computational analysis and preservation of Sanskrit texts for linguists and scholars, but it is incremental as it builds on existing tools and methods in the field.
The researchers tackled the challenges in developing knowledge systems for Sanskrit by proposing a framework for automated knowledge graph construction, introducing annotation tools, and providing web-interfaces and software libraries, resulting in enhanced accessibility and accuracy of Sanskrit text analysis.
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.