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Bott, Lewis; Rees, Alice; Frisson, Steven – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Metonymic words have multiple related meanings, such as "college", as in the building ("John walked into the college") or the educational institution ("John was promoted by the college"). Most researchers have found support for direct access models of metonymy but one recent study, Lowder and Gordon (2013), found…
Descriptors: Reading Processes, Reading Rate, Ambiguity (Semantics), Accuracy
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Angele, Bernhard; Laishley, Abby E.; Rayner, Keith; Liversedge, Simon P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2014
In a previous gaze-contingent boundary experiment, Angele and Rayner (2013) found that readers are likely to skip a word that appears to be the definite article "the" even when syntactic constraints do not allow for articles to occur in that position. In the present study, we investigated whether the word frequency of the preview of a…
Descriptors: Eye Movements, Reading Processes, Word Recognition, Word Frequency
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Boston, Marisa Ferrara; Hale, John T.; Vasishth, Shravan; Kliegl, Reinhold – Language and Cognitive Processes, 2011
Eye fixation durations during normal reading correlate with processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses…
Descriptors: Sentences, Eye Movements, Language Processing, Short Term Memory
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Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification