Jordan Kodner
Jordan Kodner
Assistant Professor, Linguistics

Department of Linguistics
Stony Brook University
Stony Brook, NY 11794-4376

(631) 632-7774
jordan.kodner [at]
computational linguistics, morphology, language acquisition, cognitive science of language, language variation and change, NLP

Jordan Kodner joined Stony Brook in 2020 after receiving his PhD from the University of Pennsylvania Department of Linguistics where he worked on computational modeling of language acquisition as well as low-resource NLP co-advised by Charles Yang and Mitch Marcus. He received a master's degree from the University of Pennsylvania Department of Computer and Information Science in 2018. Prior to graduate school, he was an Associate Scientist in the Speech, Language, and Multimedia group at Raytheon BBN Technologies in Cambridge, Massachusetts. He received dual bachelor's degrees in computer science and linguistics from the University of Pennsylvania in 2013.


Jordan's primary research revolves around computational approaches to child language acquisition and their broader implications. In particular, algorithmic models of grammar acquisition, especially morphology, how those processes drive language variation and change, what insights they provide for low-resource NLP, and what they tell us about the intersection of NLP and cognitive science. His work on NLP has included morphological and syntactic evaluation, models of morphological segmentation and inflection, and transliteration. His research on acquisition and change has touched on several varieties of English as well as Arabic, Armenian, German, Korean, and Spanish among others, while his work in low-resource NLP aims to include a wide range of world languages, both well-studied and under-served.

Teaching Summary
LIN 260 Language and Mind, LIN 330 Language Acquisition, LIN 335 Computational Linguistics, LIN 537 Computational Linguistics I, LIN 655 Topics in Computational Linguistics (including morphology learning, historical linguistics, network modeling etc)