3 citations · 9 across the 4 of their papers we have counts for
4 papers
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi
Aabha Pingle, Aditya Vyawahare, Isha Joshi +3
Sentiment analysis plays a crucial role in understanding the sentiment expressed in text data. While sentiment analysis research has been extensively conducted in English and other…
L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models
Aabha Pingle, Aditya Vyawahare, Isha Joshi +2
The exploration of sentiment analysis in low-resource languages, such as Marathi, has been limited due to the availability of suitable datasets. In this work, we present L3Cube-Mah…
Implementing Deep Learning-Based Approaches for Article Summarization in Indian Languages
Rahul Tangsali, Aabha Pingle, Aditya Vyawahare +2
The research on text summarization for low-resource Indian languages has been limited due to the availability of relevant datasets. This paper presents a summary of various deep-le…
PICT@DravidianLangTech-ACL2022: Neural Machine Translation On Dravidian Languages
Aditya Vyawahare, Rahul Tangsali, Aditya Mandke +2
This paper presents a summary of the findings that we obtained based on the shared task on machine translation of Dravidian languages. We stood first in three of the five sub-tasks…