Rob discusses his PhD research on developing adaptive models for health and disaster response using minimal training data in various languages. He highlights the challenges of applying English-centric NLP techniques to other languages, revealing significant variations in spelling and structure that complicate automated processing. His findings underscore the need for more inclusive research that addresses the linguistic diversity of the world's 7,000 languages.
