Simon Todd

Assistant Professor


Computational linguistics; psycholinguistics; corpus linguistics; speech perception; language variation, change, and evolution; phonology and its interactions with morphology and syntax


2019 Ph.D., Stanford University


I am a computational psycholinguist with a focus on speech perception. A central theme in my work is the way that small-scale cognitive processes associated with in-the-moment listening can have large-scale, long-term implications for linguistic knowledge and behavior. To this end, my research aims to identify the biases and constraints underlying speech perception and to understand their implications for the way that language is used and for the way that language use changes over time. I use a three-pronged approach to this goal, combining computational modeling, psycholinguistic experiments, and large-scale corpus analysis. I also have a secondary interest in interactions between phonology and higher-order morphological and syntactic structure.


Please see my website for current and recent projects.


Please see my Google Scholar Profile for past publications.


- LING 102: Programming for Linguists
- LING 110: Foundations of Computational Linguistics
- LING 111/210: Advanced Computational Linguistics: Text Processing
- LING 119/209: Advanced Computational Linguistics: Speech Processing