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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
Kaiser, Elsi; Trueswell, John C. – Language and Cognitive Processes, 2008
Two Finnish language comprehension experiments are presented which suggest that the referential properties of pronouns and demonstratives cannot be reduced straightforwardly to the salience level of the antecedent. The findings, from a sentence completion study and visual world eye-tracking study, reveal an asymmetry in which features of the…
Descriptors: Comprehension, Cognitive Processes, Word Order, Finno Ugric Languages
Peer reviewedSussman, Rachel Shirley; Sedivy, Julie C. – Language and Cognitive Processes, 2003
Used headmounted eyetracking to examine the time course and nature of processing filler-gap relations in Wh-questions, and the role of verb argument frame information. Subjects listened to a short narrative while viewing pictures of entities mentioned in the story and answered an auditorily presented question; eye movements in response to the…
Descriptors: Cognitive Processes, Eye Movements, Syntax, Time
Peer reviewedTanenhaus, Michael K.; Spivey-Knowlton, Michael J. – Language and Cognitive Processes, 1996
Reviews the eye-movement paradigm and refers to recent experiments applying the paradigm to issues of spoken word recognition (e.g., lexical competitor effects), syntactic processing, reference resolution, focus, as well as issues in cross-modality integration that are central to evaluating the modularity hypothesis. (Seven references) (Author/CK)
Descriptors: Eye Movements, Hypothesis Testing, Language Processing, Models

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