# Sanskrit Knowledge-based Systems: Annotation and Computational Tools

arXiv: https://arxiv.org/abs/2406.18276 · HTML: https://mlsanity.com/paper/2406.18276/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Jun 2024.

## Built on by (most cited first, 1 of 1)

- [A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs](https://mlsanity.com/paper/2505.13173/) (2025)

## Abstract (arXiv)

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.