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1
Lexical predictability during natural reading: Effects of surprisal and entropy reduction ...
Abstract: What are the effects of word-by-word predictability on sentence processing times during the natural reading of a text? Although information-complexity metrics such as surprisal and entropy reduction have been useful in addressing this question, these metrics tend to be estimated using computational language models, which require some degree of commitment to a particular theory of language processing. Taking a different approach, the current study implemented a large-scale cumulative cloze task to collect word-by-word predictability data for 40 passages and compute surprisal and entropy reduction values in a theory-neutral manner. A separate group of participants read the same texts while their eye movements were recorded. Results showed that increases in surprisal and entropy reduction were both associated with increases in reading times. Further, these effects did not depend on the global difficulty of the text. The findings suggest that surprisal and entropy reduction independently contribute to variation ...
Keyword: Cognitive Psychology; Computational Linguistics; FOS Languages and literature; FOS Psychology; Linguistics; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences
URL: https://dx.doi.org/10.17605/osf.io/6f4wq
https://psyarxiv.com/6f4wq/
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2
Language structure in the brain: A fixation-related fMRI study of syntactic surprisal in reading.
Henderson, John M; Choi, Wonil; Lowder, Matthew W. - : eScholarship, University of California, 2016
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3
Mitre's Qanda at TREC-11
In: DTIC (2006)
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4
Integrated Feasibility Experiment for Bio-Security: IFE-Bio, A TIDES Demonstration
In: DTIC (2001)
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