Ph.D. 2020, University of Pennsylvania
Jordan Kodner's research takes a computational approach to language acquisition,
acquisition's impact on language variation and change, and its relationship to low-resource
natural language processing, with an interest in how small, variable, and unreliable
input affect the morphological, syntactic, and phonological learning. His acquisition
work has touched on several aeras and varieties of English, and on Latin, Spanish,
and Korean, among others, and his work in low-resource NLP aims to include a wide
range of world languages, both well-studied and underserved. He received his MSE in
Computer and Information Science and PhD in Linguistics from the University of Pennsylvania.
Please see here for up-to-date information on research and teaching.