I am a PhD student in the Department Of Linguistics at the University Of Maryland in College Park and a member of the Computational Linguistics and Information Processing Lab (CLIP) in the Institute for Advanced Computing Studies (UMIACS). I am also a Language Science Fellow in the Maryland Language Science Center.
Before moving to Maryland, I received my Bachelor's degree from the Massachusetts Institute of Technology in 2018 with a double major in Linguistics and Brain and Cognitive Science.
My research interests lie at the intersection of Computational Cognitive Modeling, Phonology and Neuroscience, where I aim to use computational models to study how the brain processes speech.
1407D Marie Mount Hall, Regents Drive, College Park, MD 20770
craigtho [at] umd [dot] edu
craigtho [at] umiacs [dot] umd [dot] edu
Papers And Presentations
Thorburn C., Lau E., & Feldman N. H. (2020). "An evaluation framework for acoustic-phonetic models of speech processing." Presented at the Mid-Atlantic Student Colloquium on Speech, Language and Learning (MASC-SLL). University of Maryland, College Park, MD [abtract] [poster]
Thorburn C., Feldman N. H., & Schatz T. (2019). "A quantitative model of the language familiarity effect in infancy." Presented at the 13th Northeast Computational Phonology Workshop (NECPhon). Rutgers University, New Brunswick, NJ [slides]
Thorburn,C., Feldman N. H., & Schatz T. (2019). "A quantitative model of the language familiarity effect in infancy." Proceedings of the Conference on Cognitive Computational Neuroscience. Berlin, Germany [paper] [poster]
Thorburn, C. (2018) "Uniform Information Density: Syntactic and Semantic Surprisal in Complementizer that-mentioning" Presented at the Great Lakes Expo for Experimental and Formal Undergraduate Linguistics (GLEEFUL), Michigan State University, MI, USA.
Upcoming (Fall 2021): LING449G: Perceptual Models Of Speech. Instructor: Craig Thorburn
When hearing speech, humans rapidly and robustly map from a continuous acoustic signal to an abstract representation of the sounds of their language. This seminar will explore models of this acoustic-phonetic perceptual mapping by drawing from a variety of methodologies and perspectives. We will discuss the merits and issues of linguistic, computational, and neuroscientific approaches and draw connections between these disciplines. A background in neuroscience or computational modeling is not required.
Current (Spring 2021): LING321 Phonology I, Teaching Assistant. Instructor: Dr. Peggy Antonisse.
Students can view the course website here.
Office Hours: Schedule an appointment here.
LING321: Phonology I, Fall 2020 Teaching Assistant. Instructor: Dr. Peggy Antonisse.
LING200: Introductory Linguistics, Spring 2020, Teaching Assistant. Instructor: Dr. Tonia Bleam.
LING321: Phonology I, Fall 2019 Teaching Assistant. Instructor: Dr. Peggy Antonisse.