2 citations · 4 across the 4 of their papers we have counts for
4 papers
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…
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…
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages
Jivnesh Sandhan, Amrith Krishna, Ashim Gupta +2
Neural dependency parsing has achieved remarkable performance for many domains and languages. The bottleneck of massive labeled data limits the effectiveness of these approaches fo…