The Computational Linguistics Lab uses computational models and methods to learn about language and improve linguistic theory. Our work is organized along several tracks, listed below, each intersecting with a central area of linguistics. Our goal in each is to bring together (i) the rapidly improving tools of artificial intelligence and machine learning and (ii) the long-standing disciplinary knowledge of linguistics.
Our central question is: What can computational linguistics tell us about language that we did not already know?
In Fall 2026 we are meeting on Fridays at 2pm in LCLB 4080a. Students interested in joining or collaborating with the lab should contact Jonathan Dunn.
Research Areas
Computational Semantics, led by Prof. Aleksandre Maskharashvili
Computational Syntax, led by Prof. Jonathan Dunn
Computational Phonology, led by Prof. Scott Nelson
Computational Sociolinguistics, led by Prof. Salvatore Callesano
Machine Speech Audition and Processing, led by Prof. Yan Tang