Marten van Schijndel
Marten van Schijndel
Geverifieerd e-mailadres voor cornell.edu - Homepage
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A model of language processing as hierarchic sequential prediction
M van Schijndel, A Exley, W Schuler
Topics in Cognitive Science 5 (3), 522-540, 2013
302013
Hierarchic syntax improves reading time prediction
M Van Schijndel, W Schuler
Proceedings of the 2015 Conference of the North American Chapter of the …, 2015
262015
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
252016
Modeling garden path effects without explicit hierarchical syntax.
M Van Schijndel, T Linzen
CogSci, 2018
232018
Accurate Unbounded Dependency Recovery using Generalized Categorial Grammars.
L Nguyen, M Van Schijndel, W Schuler
Proceedings of COLING, 2125-2140, 2012
232012
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
222016
An Analysis of Frequency- and Memory-Based Processing Costs.
M Van Schijndel, W Schuler
Proceedings of NAACL-HLT, 95-105, 2013
202013
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
192016
Quantity doesn't buy quality syntax with neural language models
M Van Schijndel, A Mueller, T Linzen
arXiv preprint arXiv:1909.00111, 2019
142019
A Neural Model of Adaptation in Reading
M van Schijndel, T Linzen
EMNLP 2018, 2018
112018
Frequency effects in the processing of unbounded dependencies
M van Schijndel, W Schuler, PW Culicover
Annual Meeting of the Cognitive Science Society (CogSci), 2014
112014
An analysis of memory-based processing costs using incremental deep syntactic dependency parsing
M Van Schijndel, L Nguyen, W Schuler
Workshop on Cognitive Modeling and Computational Linguistics (CMCL), 2013
112013
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
102020
Using priming to uncover the organization of syntactic representations in neural language models
G Prasad, M Van Schijndel, T Linzen
arXiv preprint arXiv:1909.10579, 2019
82019
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
72015
Addressing surprisal deficiencies in reading time models.
M Van Schijndel, W Schuler
CL4LC@ COLING 2016, 32-37, 2016
62016
Connectionist-inspired incremental PCFG parsing
M van Schijndel, A Exley, W Schuler
Workshop on Cognitive Modeling and Computational Linguistics (CMCL), 51-60, 2012
62012
Approximations of Predictive Entropy Correlate with Reading Times.
M Van Schijndel, W Schuler
CogSci, 2017
32017
The Influence of Syntactic Frequencies on Human Sentence Processing
M Van Schijndel
The Ohio State University, 2017
22017
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
22016
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Artikelen 1–20