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Hate Speech Detection in Indo-Aryan Languages by General Everyone is a document available to read on EtoBox.

What is Hate Speech Detection in Indo-Aryan Languages about?

The document presents a study on detecting hate speech and offensive content in Gujarati and Sinhala, two Indo-Aryan languages, using transformer-based models like DistilBERT and mBERT. The models demonstrated significant accuracy in identifying hate speech after being fine-tuned with language-specific datasets, achieving macro F1-scores of 0.6 for Sinhala and 0.8 for Gujarati. This research contributes to ongoing efforts in combating online hate speech, particularly in low-resource language settings.

Author

General Everyone

Language

EN