56 citations · 75 across the 12 of their papers we have counts for
3 papers · 1 filter
Multilingual Text Style Transfer: Datasets & Models for Indian Languages
Sourabrata Mukherjee, Atul Kr. Ojha, Akanksha Bansal +3
Text style transfer (TST) involves altering the linguistic style of a text while preserving its core content. This paper focuses on sentiment transfer, a popular TST subtask, acros…
MaCmS: Magahi Code-mixed Dataset for Sentiment Analysis
Priya Rani, Gaurav Negi, Theodorus Fransen +1
The present paper introduces new sentiment data, MaCMS, for Magahi-Hindi-English (MHE) code-mixed language, where Magahi is a less-resourced minority language. This dataset is the…
Text Detoxification as Style Transfer in English and Hindi
Sourabrata Mukherjee, Akanksha Bansal, Atul Kr. Ojha +2
This paper focuses on text detoxification, i.e., automatically converting toxic text into non-toxic text. This task contributes to safer and more respectful online communication an…