90 citations · 258 across the 28 of their papers we have counts for
29 papers
Domain-Independent Disperse and Pick method for Robotic Grasping
Prem Raj, Aniruddha Singhal, Vipul Sanap +2
Picking unseen objects from clutter is a difficult problem because of the variability in objects (shape, size, and material) and occlusion due to clutter. As a result, it becomes d…
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…
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…
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…
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…
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…