Cory Shain
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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
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
Incremental language comprehension difficulty predicts activity in the language network but not the multiple demand network
L Wehbe, IA Blank, C Shain, R Futrell, R Levy, T von der Malsburg, ...
Cerebral Cortex 31 (9), 4006-4023, 2021
The synchrony and diachrony of differential object marking in Paraguayan Guaraní
C Shain, J Tonhauser
Language Variation and Change 22 (3), 321-346, 2010
Breaking NLP: Using morphosyntax, semantics, pragmatics and world knowledge to fool sentiment analysis systems
T Mahler, W Cheung, M Elsner, D King, MC de Marneffe, C Shain, ...
Proceedings of the First Workshop on Building Linguistically Generalizable …, 2017
A large-scale study of the effects of word frequency and predictability in naturalistic reading
C Shain
Proceedings of the 2019 conference of the North American chapter of the …, 2019
Robust effects of working memory demand during naturalistic language comprehension in language-selective cortex
C Shain, IA Blank, E Fedorenko, E Gibson, W Schuler
Journal of Neuroscience 42 (39), 7412-7430, 2022
Continuous-time deconvolutional regression for psycholinguistic modeling
C Shain, W Schuler
Cognition 215, 104735, 2021
Measuring the perceptual availability of phonological features during language acquisition using unsupervised binary stochastic autoencoders
C Shain, M Elsner
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
Similarity of computations across domains does not imply shared implementation: The case of language comprehension
E Fedorenko, C Shain
Current Directions in Psychological Science 30 (6), 526-534, 2021
Modeling morphological learning, typology, and change: What can the neural sequence-to-sequence framework contribute?
M Elsner, AD Sims, A Erdmann, A Hernandez, E Jaffe, L Jin, ...
Journal of Language Modelling 7 (1), 53-98, 2019
Speech segmentation with a neural encoder model of working memory
M Elsner, C Shain
Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017
Deconvolutional time series regression: A technique for modeling temporally diffuse effects
C Shain, W Schuler
Proceedings of the 2018 conference on empirical methods in natural language …, 2018
The distribution of differential object marking in Paraguayan Guaraní
C Shain
Ohio State University, 2009
Coreference and focus in reading times
E Jaffe, C Shain, W Schuler
Proceedings of the 8th Workshop on Cognitive Modeling and Computational …, 2018
‘Constituent length’effects in fMRI do not provide evidence for abstract syntactic processing
C Shain, H Kean, B Lipkin, J Affourtit, M Siegelman, F Mollica, ...
BioRxiv, 2021.11. 12.467812, 2021
Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input.
C Shain, W Bryce, L Jin, V Krakovna, F Doshi-Velez, TA Miller, W Schuler, ...
COLING, 964-975, 2016
Differential object marking in Paraguayan Guaraní
CA Shain
The Ohio State University, 2009
Large-scale evidence for logarithmic effects of word predictability on reading time
C Shain, C Meister, T Pimentel, R Cotterell, RP Levy
PsyArXiv, 2022
Acquiring language from speech by learning to remember and predict
C Shain, M Elsner
Proceedings of the 24th Conference on Computational Natural Language …, 2020
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