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20022023
most citedNonlinear Voter Models: The Transition from Invasion to Coexistence

90 citations · 258 across the 28 of their papers we have counts for

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7 papers · 1 filter

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.CL2022★ 1 cited

TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer

Jivnesh Sandhan, Rathin Singha, Narein Rao +3

Sanskrit Word Segmentation (SWS) is essential in making digitized texts available and in deploying downstream tasks. It is, however, non-trivial because of the sandhi phenomenon th…

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…

cs.CL2022★ 5 cited

Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages

Jivnesh Sandhan, Ayush Daksh, Om Adideva Paranjay +2

Nowadays, the interest in code-mixing has become ubiquitous in Natural Language Processing (NLP); however, not much attention has been given to address this phenomenon for Speech T…

cs.CL2022★ 2 cited

Systematic Investigation of Strategies Tailored for Low-Resource Settings for Low-Resource Dependency Parsing

Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal

In this work, we focus on low-resource dependency parsing for multiple languages. Several strategies are tailored to enhance performance in low-resource scenarios. While these are…

cs.CL2021★ 2 cited

Evaluating Neural Word Embeddings for Sanskrit

Jivnesh Sandhan, Om Adideva, Digumarthi Komal +2

Recently, the supervised learning paradigm's surprisingly remarkable performance has garnered considerable attention from Sanskrit Computational Linguists. As a result, the Sanskri…