Great expectations: specific lexical anticipation influences the processing of spoken language.
BACKGROUND
Recently several studies have shown that people use contextual information to make predictions about the rest of the sentence or story as the text unfolds. Using event related potentials (ERPs) we tested whether these on-line predictions are based on a message-level representation of the discourse or on simple automatic activation by individual words. Subjects heard short stories that were highly constraining for one specific noun, or stories that were not specifically predictive but contained the same prime words as the predictive stories. To test whether listeners make specific predictions critical nouns were preceded by an adjective that was inflected according to, or in contrast with, the gender of the expected noun.


RESULTS
When the message of the preceding discourse was predictive, adjectives with an unexpected gender inflection evoked a negative deflection over right-frontal electrodes between 300 and 600 ms. This effect was not present in the prime control context, indicating that the prediction mismatch does not hinge on word-based priming but is based on the actual message of the discourse.


CONCLUSIONS
When listening to a constraining discourse people rapidly make very specific predictions about the remainder of the story, as the story unfolds. These predictions are not simply based on word-based automatic activation, but take into account the actual message of the discourse.
Otten
Marte
M
Department of Psychology, University of Amsterdam, The Netherlands. m.otten@uva.nl
Nieuwland
Mante S
MS
Van Berkum
Jos J A
JJ
D000293:Adolescent; D000328:Adult; D001931:Brain Mapping; D002540:Cerebral Cortex / Q000502:physiology*; D004569:Electroencephalography; D005071:Evoked Potentials / Q000502:physiology; D005260:Female; D006801:Humans; D007807:Language Tests; D008297:Male; D008606:Mental Processes / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology; D012660:Semantics; D012815:Signal Processing, Computer-Assisted; D014705:Verbal Behavior / Q000502:physiology*