Emily Morgan

According to our database, Emily Morgan authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Large Language Models and Simple, Stupid Bugs.

Kevin Jesse, Toufique Ahmed, Premkumar T. Devanbu, Emily Morgan

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

2022

Telehealth and the Digital Divide: Identifying Potential Care Gaps in Video Visit Use.

Hetal Choxi, Hans VanDerSchaaf, Yihan Li, Emily Morgan

J. Medical Syst., 2022

Robust Processing Advantage for Binomial Phrases with Variant Conjunctions.

Suphasiree Chantavarin, Emily Morgan, Fernanda Ferreira

Cogn. Sci., 2022

2021

Pitches that Wire Together Fire Together: Scale Degree Associations Across Time Predict Melodic Expectations.

Niels J. Verosky, Emily Morgan

Cogn. Sci., 2021

2020

Do Programmers Prefer Predictable Expressions in Code?

Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu, Emily Morgan

Cogn. Sci., 2020

A theory of dual channel constraints.

Casey Casalnuovo, Earl T. Barr, Santanu Kumar Dash, Prem Devanbu, Emily Morgan

Proceedings of the ICSE-NIER 2020: 42nd International Conference on Software Engineering, New Ideas and Emerging Results, Seoul, South Korea, 27 June, 2020

Processing effort is a poor predictor of cross-linguistic word order frequency.

Brennan Gonering, Emily Morgan

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Frequency-dependent Regularization in Constituent Ordering Preferences.

Zoey Liu, Emily Morgan

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Storage and Computation of Multimorphemic Words in Turkish.

Rabia Ergin, Emily Morgan, Timothy O'Donnell

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Does Language Model Surprisal Measure Code Comprehension?

Casey Casalnuovo, Premkumar T. Devanbu, Emily Morgan

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

2019

Do People Prefer "Natural" code?

Casey Casalnuovo, Kevin Lee, Hulin Wang, Prem Devanbu, Emily Morgan

CoRR, 2019

2017

Comprehenders Rationally Adapt Semantic Predictions to the Statistics of the Local Environment: a Bayesian Model of Trial-by-Trial N400 Amplitudes.

Nathaniel Delaney-Busch, Emily Morgan, Ellen F. Lau, Gina R. Kuperberg

Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2015

Modeling idiosyncratic preferences: How generative knowledge and expression frequency jointly determine language structure.

Emily Morgan, Roger Levy

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015