Junfan Huang is the Principal Investigator of the Boring Research Lab. His research focuses on developing machine learning and deep learning models to automate repetitive tasks. He has a broad interest in prompt engineering, language models, explainable AI, and edge computing.
_projects/gaelic-standardiser.md
title: Gaelic Standardiser description: An end-to-end transformer-based model for Gaelic text normalization link: https://github.com/boringlabresearch/gaelic-standardiser image: images/gaelic-standardiser.png —
The Gaelic Standardiser is an open-source tool for Gaelic text normalization. It uses data augmentation techniques and an end-to-end transformer model to overcome the lack of data in this low-resource language. The model outperforms existing rule-based systems.