Latest News

Latest News

NSF grant on "Generalization versus item-specificity in language processing and change"

Emily Morgan was awarded a three-year NSF grant on "Generalization versus item-specificity in language processing and change". The project will investigate how speakers of a language use both the ability to generalize and their knowledge of specific previously-encountered items. For example, speakers know that the past tense of a novel verb glorp is glorped but the past tense of run is the irregular ran. But the relationship between these two systems remains a subject of intense debate.

Papers accepted at CogSci 2024

The lab had multiple papers accepted for publication and presentation at CogSci 2024!

Nicole Dodd, Fernanda Ferreira and Emily Morgan will be presenting their work on "Noisy-Channel Processing in Standard Arabic Relative Clauses," in collaboration with Fatima Boush and Tommi Leung from the UAE University

Plenary Talk at SCiL 2023

Emily Morgan was invited to give a plenary talk at SCiL 2023 this June! Her presentation was on "Generative and item-specific knowledge in multiword expression processing." 

Paper accepted at CogSci 2023

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?"

Nicole Dodd awarded NSF DDRI Grant

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.

NSF grant for research on human code processing

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.