The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Effect of Lexical Predictability on Eye Movements in Reading: Critical Review and Theoretical Interpretation
Abstract
A word's predictability in its context has a reliable influence on eye movements in reading. This article reviews the extensive literature that has investigated this influence, focusing on several specific empirical issues. These include assessment of cloze probability as the critical measure of predictability, the form of the relationship between predictability and reading time, the distributional effects of predictability, the interaction between predictability and word frequency, and the interaction between predictability and parafoveal preview. On the basis of this review, two theoretical conclusions are proposed. First, predictability effects in reading result from graded activation of potentially many words, as opposed to discrete prediction of a specific word. Second, this activation has the effect of facilitating either very early stages of lexical processing or pre‐lexical processing of visual features or letters.
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Cites
Bayesian t tests for accepting and rejecting the null hypothesis
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Contextual effects on word perception and eye movements during reading
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Cited by
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
Best practices in eye tracking research
Carter, B. T., & Luke, S. G. (2020) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2020.05.010 · Cited by 659
Predicting while comprehending language: A theory and review.
Pickering, M. J., & Gambi, C. (2018) · Psychological Bulletin · doi:10.1037/bul0000158 · Cited by 518
fMRI reveals language-specific predictive coding during naturalistic sentence comprehension
Shain, C., Blank, I. A., van Schijndel, M., Schuler, W., & Fedorenko, E. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107307 · Cited by 215
Self-imposed filter bubbles: Selective attention and exposure in online search
Ekström, A. G., Niehorster, D. C., & Olsson, E. J. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100226 · Cited by 45
Metadata
- Authors
- Staub, A.
- Venue
- Language and Linguistics Compass
- Publisher
- Wiley
- Published
- 2015-08
- Volume
- 9
- Issue
- 8
- Pages
- 311-327
- ISSN
- 1749-818X (ISSN-L)
- OpenAlex
- W1682431627
- Cited by
- 328
- References
- 4
- FWCI
- 34.46
- Type
- journal article
- Language
- en
- Open access
- closed
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