Enhancing Neural Machine Translation with Direct Preference Optimization Using Human Feedback for Indonesian, Thai, and Malay Languages

This project enhances Neural Machine Translation (NMT) for Indonesian, Thai, and Malay. Current systems struggle with contextual accuracy and fluency in these languages. By applying Direct Preference Optimization (DPO) with human feedback, the project aims to improve translation quality, especially for educational use. It will foster research collaboration and knowledge exchange among Southeast Asian universities and global institutions.