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Emily Morgan
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Abstract knowledge versus direct experience in processing of binomial expressions
E Morgan, R Levy
Cognition 157, 384-402, 2016
832016
Neural evidence for Bayesian trial-by-trial adaptation on the N400 during semantic priming
N Delaney-Busch, E Morgan, E Lau, GR Kuperberg
Cognition 187, 10-20, 2019
672019
Exploring cognitive relations between prediction in language and music
AD Patel, E Morgan
Cognitive Science 41, 303-320, 2017
602017
Statistical learning and Gestalt-like principles predict melodic expectations
E Morgan, A Fogel, A Nair, AD Patel
Cognition 189, 23-34, 2019
552019
A theory of dual channel constraints
C Casalnuovo, ET Barr, SK Dash, P Devanbu, E Morgan
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
292020
Comprehenders Rationally Adapt Semantic Predictions to the Statistics of the Local Environment: a Bayesian Model of Trial-by-Trial N400 Amplitudes.
N Delaney-Busch, E Morgan, EF Lau, GR Kuperberg
CogSci, 2017
262017
Large language models and simple, stupid bugs
K Jesse, T Ahmed, PT Devanbu, E Morgan
2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023
242023
Modeling idiosyncratic preferences: How generative knowledge and expression frequency jointly determine language structure.
E Morgan, R Levy
CogSci, 2015
182015
Do programmers prefer predictable expressions in code?
C Casalnuovo, K Lee, H Wang, P Devanbu, E Morgan
Cognitive science 44 (12), e12921, 2020
162020
Frequency-dependent regularization in iterated learning
E Morgan, R Levy
The evolution of language: proceedings of the 11th international conference …, 2016
122016
Layered Hybrid Lead Iodide Perovskites with Short Interlayer Distances
L Mao, EE Morgan, A Li, RM Kennard, MJ Hong, Y Liu, CJ Dahlman, ...
ACS Energy Letters 7 (8), 2801-2806, 2022
102022
A bottom-up parsing model of local coherence effects
E Morgan, F Keller, M Steedman
Proceedings of the Annual Meeting of the Cognitive Science Society 32 (32), 2010
102010
Lexical diversity in an L2 Spanish learner corpus: The effect of topic-related variables
P Fernández-Mira, E Morgan, S Davidson, A Yamada, A Carando, ...
International Journal of Learner Corpus Research 7 (2), 230-258, 2021
92021
Does surprisal predict code comprehension difficulty
C Casalnuovo, E Morgan, P Devanbu
Proceedings of the 42nd Annual Meeting of the Cognitive Science Society, 2020
92020
Pitches that wire together fire together: Scale degree associations across time predict melodic expectations
NJ Verosky, E Morgan
Cognitive science 45 (10), e13037, 2021
82021
A theory of dual channel constraints. In 2020 IEEE/ACM 42nd International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)
C Casalnuovo, ET Barr, SK Dash, P Devanbu, E Morgan
IEEE, 25ś28, 2020
72020
Generative and item-specific knowledge of language
EIP Morgan
University of California, San Diego, 2016
72016
Multiple predictions during language comprehension: Friends, foes, or indifferent companions?
T Brothers, E Morgan, A Yacovone, G Kuperberg
Cognition 241, 105602, 2023
62023
Large Language Models and Simple, Stupid Bugs. In 2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR). 563–575
K Jesse, T Ahmed, PT Devanbu, E Morgan
52023
Do people prefer" natural" code?
C Casalnuovo, K Lee, H Wang, P Devanbu, E Morgan
arXiv preprint arXiv:1910.03704, 2019
52019
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