Simplifying Persian NLP for Modern Applications

The library integrates voice-based offensive content detection in iOS apps, utilizing Apple's Speech framework and a machine learning model created with Create ML. It accurately identifies offensive language and hate speech, supporting both SwiftUI and UIKit for content moderation.

Paper: A Cancel Culture Corpus through the lens of Natural Language Processing

Example dataset and prompt design of Korean Offensive language Machine Generation (K-OMG), published at IJCNLP-AACL 2023.

Pytorch code for "Multilingual Offensive Language Identification"

This repository contains resources for aggression and offensive language detection, for our WOAH 2023 publication.

Offensive language exploratory analysis

Multidimensional Affective Analysis for Guarani/Jopara

A framework for adapting Pretrained Language Models (XLM-R, BERT etc.) for Low-Resourced Offensive Language Detection in Sinhala using pretrained models and intermediate tasks.

WhatsApp Multiplexer - An automation tool for WhatsApp web

Translated abusive language dataset (En2Ko). Including OffensEval/AbusEval, CADD, Davidson et al., Waseem&Hovy.

Our submission to OffensEval 2020 to classify offensive language in social media tweets, where we ranked #15.