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20212025
most citedFramework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

4 citations · 10 across the 8 of their papers we have counts for

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cs.CL2025

BHRAM-IL: A Benchmark for Hallucination Recognition and Assessment in Multiple Indian Languages

Hrishikesh Terdalkar, Kirtan Bhojani, Aryan Dongare +1

Large language models (LLMs) are increasingly deployed in multilingual applications but often generate plausible yet incorrect or misleading outputs, known as hallucinations. While…

cs.CL2024

Sanskrit Knowledge-based Systems: Annotation and Computational Tools

Hrishikesh Terdalkar

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 con…

cs.CL2023★ 4 cited

Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs

Hrishikesh Terdalkar, Arnab Bhattacharya

Sanskrit (sa\d{m}sk\d{r}ta) enjoys one of the largest and most varied literature in the whole world. Extracting the knowledge from it, however, is a challenging task due to multipl…

cs.CL2023

Antarlekhaka: A Comprehensive Tool for Multi-task Natural Language Annotation

Hrishikesh Terdalkar, Arnab Bhattacharya

One of the primary obstacles in the advancement of Natural Language Processing (NLP) technologies for low-resource languages is the lack of annotated datasets for training and test…

cs.CL2022★ 1 cited

A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit

Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar +4

The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation…