Dr. Hulden's research focuses on modeling and automatically learning phenomena in natural language morphology and phonology. Much of this work is informed by results in information theory, machine learning, and theoretical computer science.
keywords
computational linguistics, computational phonology and morphology, grammatical inference, formal language theory, learnability, machine learning, natural language processing for less-resourced languages, historical linguistics
