Latest News

Zach Houghton and Emily Morgan had a short paper accepted for publication and presentation at CogSci 2023. The title of their paper is, "Does Predictability Drive the Holistic Storage of Compound Nouns?"

Emily Morgan will be presenting her recent work, in conjunction with Roger Levy, at Human Sentence Processing 2023. Their poster is titled, "Generative knowledge and item-specific knowledge trade off as a function of frequency in multiword expression processing."

Nicole was recently awarded a Doctoral Dissertation Research Improvement grant from the National Science Foundation in support of her research on Arabic sentence processing. This money will support payments for experimental participants, one month of field research in the United Arab Emirates, and travel to a domestic conference to present her findings.

Nicole Dodd will again be presenting her work on "Expectations and Noisy-Channel Processing in Relative Clauses in Standard Arabic" at Architectures and Mechanisms of Language Processing (AMLaP) 2022, which will take place September 7-9th.

Nicole Dodd and Emily Morgan had a short paper on their recent work in Arabic sentence processing accepted for publication and presentation at this year's Annual Conference for the Cognitive Science Society (CogSci). Their full publication can be found here.

Skyler Reese had an abstract accepted at the California Universities Semantics and Pragmatics (CUSP) 2022 annual meeting, to take place on May 6th. They will present their Bayesian quantifiers research in a flash talk. Their poster slides can be found here.

Skyler Reese's research was recently accepted for presentation at the Experiments in Linguistic Meaning (ELM) conference from May 18th-20th. Their poster is titled "Bayesian Modeling of Quantifier Reference Variability: The Case of Few, Several, and Many." Their abstract can be viewed here.

The Morgan Computational Psycholinguistics Lab will be well represented at the upcoming Human Sentence Processing (HSP) conference on March 24th-26th!

Emily Morgan, in collaboration with Prem Devanbu and other cross-campus collaborators, recently received a three-year NSF grant worth $1.4 million to study how humans process programming languages. To quote Devanbu, "When you write a program, it has two audiences.

Skyler Reese virtually presented their research at Architectures and Mechanisms for Language Processing (AMLaP) 2021, titled "Bayesian Modeling of Quantifier Cardinal Reference Variability: The Case of English Few, Several, and Many". Their abstract can be found here, and you can view a recording of their presentation here.