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Sean Trott

Assistant Teaching Professor

Using a combination of behavioral experiments, computational tools (e.g., neural language models), and corpus analysis to ask questions about how humans understand language and why languages look the way that they do. For example: how do we understand ambiguous language, and why is language so ambiguous in the first place? I also teach courses on language, research methods, statistics, and computational social science. 
Trott, S., & Bergen, B. (2022). Languages are efficient, but for whom?. Cognition, 225, 105094. [Link to paper][Data and code for analysis]
Trott, S., & Bergen, B. (2020). Why do human languages have homophones? Cognition, 205, 104449. [Link to paper][Link to preprint][Data and code for analysis]
Trott, S., & Bergen, B. (2021). RAW-C: Relatedness of Ambiguous Words, in Context (A New Lexical Resource for English). ACL-IJCNLP-2021. [Link to paper] [link to dataset and code]