Research

Our research is focused on the linguistic representation of words and how these representations are comprehended in real-time processing, with a special focus on verb meaning and argument structure. We are very interested in the ways that experimental work in semantics and psycholinguistics can inform linguistic theory and our understanding of linguistic representations. Our recent work is exploring ways to use computational linguistics and pre-trained language models to investigate the relative contribution of grammatical properties versus frequency-based predictions in the processing of sentences. We have also been working to better understand the maze task, and how maze responses correlate with other behavioral and ERP responses, and building tools to support work with the maze task in more languages with less programming experience.

Lab members also work on a variety of projects related to words, argument structure, syntax, semantics, and computational linguistics. Our experimental studies primarily use behavioral methods such as self-paced reading, the maze task, and semantic or syntactic judgment studies. We also occasionally collaborate with other labs to collect neurolinguistic data from EEG or MEG recordings.

See the Recent Work for information and materials related to recent and upcoming papers and presentations. We’re gradually working on getting more of the older project information posted on this new site.

As we work on adding older material to the site, for a full(er) list of publications and links to some preprints, see my pdf CV or publications page on my personal site.