Academic Research
Academic Research
We contribute to peer-reviewed publications, conferences, and workshops. Our academic work is focused on advancing the global understanding of low-resource language modelling, culturally-aware AI, and multimodal learning architectures.
How Effective Are AI Models in Translating English Scientific Texts to Pidgin: A Low-Resource Language?
This research explores the challenges and limitations of applying deep learning models to the translation of scientific texts from English to Nigerian Pidgin, a widely spoken but low-resource language in West Africa. Despite advancements in machine translation, translating domain-specific content such as biological research papers presents unique obstacles, including data scarcity, linguistic complexity, and model generalization issues.