Jepkemei Betty

Low-Resource Hate Speech Detection in English-Swahili Code-Switched Text Using Fine-Tuning of Pre-trained Language Models

This study explores a low-resource approach to detecting hate speech in English and Swahili code-switched text by fine-tuning pre-trained language models, and shows that fine-tuning modern language models can offer a practical and scalable solution for hate speech detection in multilingual environments.