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Eye Movements Reveal the On-Line Computation of Lexical Probabilities During Reading
Abstract
Skilled readers are able to derive meaning from a stream of visual input with remarkable efficiency. In this article, we present the first evidence that statistical information latent in the linguistic environment can contribute to an account of reading behavior. In two eye-tracking studies, we demonstrate that the transitional probabilities between words have a measurable influence on fixation durations, and using a simple Bayesian statistical model, we show that lexical probabilities derived by combining transitional probability with the prior probability of a word's occurrence provide the most parsimonious account of the eye movement data. We suggest that the brain is able to draw upon statistical information in order to rapidly estimate the lexical probabilities of upcoming words: a computationally inexpensive mechanism that may underlie proficient reading.
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Cites
Eye movements in reading and information processing: 20 years of research
Rayner, K. (1998) · Psychological Bulletin · doi:10.1037/0033-2909.124.3.372 · Cited by 7,979
Contextual effects on word perception and eye movements during reading
Ehrlich, S. F., & Rayner, K. (1981) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(81)90220-6 · Cited by 796
Cited by
Rayner, K. (2009) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470210902816461 · Cited by 2,682
An integrated theory of language production and comprehension
Pickering, M. J., & Garrod, S. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x12001495 · Cited by 1,569
What do we mean by prediction in language comprehension?
Kuperberg, G. R., & Jaeger, T. F. (2016) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2015.1102299 · Cited by 1,087
Thinking ahead: The role and roots of prediction in language comprehension
Federmeier, K. D. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00531.x · Cited by 801
Redundancy and reduction: Speakers manage syntactic information density
Florian Jaeger, T. (2010) · Cognitive Psychology · doi:10.1016/j.cogpsych.2010.02.002 · Cited by 733
Metadata
- Authors
- McDonald, S. A., & Shillcock, R. C.
- Venue
- Psychological Science
- Publisher
- SAGE Publications
- Published
- 2003-11
- Volume
- 14
- Issue
- 6
- Pages
- 648-652
- ISSN
- 0956-7976 (ISSN-L)
- 1467-9280
- OpenAlex
- W2138640694
- Cited by
- 325
- References
- 2
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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