most citedNeural Approaches for Data Driven Dependency Parsing in Sanskrit

1 citations · 2 across the 5 of their papers we have counts for

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5 papers

cs.CL2023

DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit

Jivnesh Sandhan, Yaswanth Narsupalli, Sreevatsa Muppirala +4

Multi-component compounding is a prevalent phenomenon in Sanskrit, and understanding the implicit structure of a compound's components is crucial for deciphering its meaning. Earli…

cs.CL20231 cited

Linguistically-Informed Neural Architectures for Lexical, Syntactic and Semantic Tasks in Sanskrit

Jivnesh Sandhan

The primary focus of this thesis is to make Sanskrit manuscripts more accessible to the end-users through natural language technologies. The morphological richness, compounding, fr…

cs.CL2023

Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka

Jivnesh Sandhan, Amruta Barbadikar, Malay Maity +5

Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted…

cs.CL2023

SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes

Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera +2

We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks…

cs.CL20201 cited

Neural Approaches for Data Driven Dependency Parsing in Sanskrit

Amrith Krishna, Ashim Gupta, Deepak Garasangi +3

Data-driven approaches for dependency parsing have been of great interest in Natural Language Processing for the past couple of decades. However, Sanskrit still lacks a robust pure…