@inproceedings{268837a7cbfc4510835a7a9ef4d06a0f,
title = "Investigating the role of entropy in sentence processing",
abstract = "We outline four ways in which uncertainty might affect comprehension difficulty in human sentence processing. These four hypotheses motivate a self-paced reading experiment, in which we used verb subcategorization distributions to manipulate the uncertainty over the next step in the syntactic derivation (single step entropy) and the surprisal of the verb's complement. We additionally estimate wordby- word surprisal and total entropy over parses of the sentence using a probabilistic context-free grammar (PCFG). Surprisal and total entropy, but not single step entropy, were significant predictors of reading times in different parts of the sentence. This suggests that a complete model of sentence processing should incorporate both entropy and surprisal.",
author = "Tal Linzen and Jaeger, {T. Florian}",
note = "Funding Information: We thank Alec Marantz for discussion and Andrew Watts for technical assistance. This work was supported by an Alfred P. Sloan Fellowship to T. Florian Jaeger. Publisher Copyright: {\textcopyright} 2014 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All rights reserved.; 5th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 ; Conference date: 26-06-2014",
year = "2014",
language = "English (US)",
series = "Proceedings of the Annual Meeting of the Association for Computational Linguistics",
publisher = "Association for Computational Linguistics (ACL)",
pages = "10--18",
editor = "Vera Demberg and Tim O�Donnell",
booktitle = "5th Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2014 at the 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings",
}