Articles with public access mandates - Marten van SchijndelLearn more
Available somewhere: 9
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
C Shain, IA Blank, M van Schijndel, W Schuler, E Fedorenko
Neuropsychologia 138, 107307, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Single‐stage prediction models do not explain the magnitude of syntactic disambiguation difficulty
M Van Schijndel, T Linzen
Cognitive science 45 (6), e12988, 2021
Mandates: US National Science Foundation
Salience and attention in surprisal-based accounts of language processing
A Zarcone, M Van Schijndel, J Vogels, V Demberg
Frontiers in psychology 7, 844, 2016
Mandates: US National Science Foundation, German Research Foundation
Memory access during incremental sentence processing causes reading time latency
C Shain, M Van Schijndel, R Futrell, E Gibson, W Schuler
Proceedings of the workshop on computational linguistics for linguistic …, 2016
Mandates: US National Science Foundation
Investigating locality effects and surprisal in written English syntactic choice phenomena
R Rajkumar, M Van Schijndel, M White, W Schuler
Cognition 155, 204-232, 2016
Mandates: US National Science Foundation
Approximations of predictive entropy correlate with reading times
M van Schijndel, W Schuler
Proceedings of the Annual Meeting of the Cognitive Science Society 39, 2017
Mandates: US National Science Foundation
Evidence of syntactic working memory usage in MEG data
M van Schijndel, B Murphy, W Schuler
Workshop on Cognitive Modeling and Computational Linguistics (CMCL), 2015
Mandates: US National Institutes of Health
Addressing surprisal deficiencies in reading time models
M van Schijndel, W Schuler
Proceedings of the workshop on computational linguistics for linguistic …, 2016
Mandates: US National Science Foundation
Exploring memory and processing through a gold standard annotation of Dundee
C Shain, M van Schijndel, E Gibson, W Schuler
CUNY Conference on Human Sentence Processing, 2016
Mandates: US National Science Foundation
Publication and funding information is determined automatically by a computer program