Godfred Agyapong is a PhD student in the Department of Linguistics, specializing in Computational Linguistics. His research bridges the gap between endangered language documentation and advanced computational methods. He focuses on developing machine learning technologies tailored to low-resource languages, enhancing NLP systems with insights drawn from linguistic documentation and analysis. His current work involves the development of a multilayered Akan corpus with tone annotations, aiming to improve the accuracy and usability of NLP systems for low-resource languages. Godfred’s work contributes to the preservation and revitalization of endangered languages through advanced computational tools by combining expertise in language documentation, machine learning, and phonological analysis.