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Chaarvi Bansal

2 papers hereh-index 450 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedAn evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis

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

collaborators

2 papers

cs.AI2023

A clustering and graph deep learning-based framework for COVID-19 drug repurposing

Chaarvi Bansal, Rohitash Chandra, Vinti Agarwal +1

Drug repurposing (or repositioning) is the process of finding new therapeutic uses for drugs already approved by drug regulatory authorities (e.g., the Food and Drug Administration…

cs.CL2023★ 1 cited

An evaluation of Google Translate for Sanskrit to English translation via sentiment and semantic analysis

Akshat Shukla, Chaarvi Bansal, Sushrut Badhe +2

Google Translate has been prominent for language translation; however, limited work has been done in evaluating the quality of translation when compared to human experts. Sanskrit…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.