Ignatius Ezeani is a Research Associate at the UCREL Research Centre, Lancaster University. His current research interests revolve around, but not limited to, developing robust frameworks for adapting existing NLP models and techniques for low resource language research. He is particularly interested in such meaning abstractions and semantic relationships as captured by deep embedding models often trained with huge amounts of data from highly resourced languages and how to project same to low resource languages. He is also generally interested in the design and development of machine learning and deep neural models as well as their applications to, not just NLP, but to the broader field of data science. Ignatius is currently looking at efficient methods to improving the accuracy and reliability of the Welsh Semantic Tagger.