Colvin, Michelle B.
(2017)
LEXICAL AND SYNTACTIC PREDICTION WITHIN A NOISY CHANNEL MODEL OF LANGUAGE COMPREHENSION.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
The present paper explored adaptation of prediction within a noisy channel framework of language comprehension. Three experiments examined whether adaptation of reliance on lexical and/or syntactic predictive cues occurs across contexts in which there is a change in the informativity of these cues. Within a single experimental session (Exp. 1, n=44) and across experiments (Exp. 2, n= 45; Exp. 3, n= 92), there was no evidence that participants adapted their reliance on a lexical cue, as subjects predicted specific words within highly-constraining sentences at an equal rate across contexts which supported and violated this expectation. Furthermore, it was found that participants only adapted and relied less on a syntactic cue in the violating context within Experiment 3, in which a stronger violating cue was used for the expectation of an either...or sentence structure than the violating cue used in the first two experiments. Results suggest that the combination of a strong predictive cue and a strong violation of that cue is necessary to elicit adaptation. Further research is needed to investigate how and when readers adapt their prediction during language comprehension.
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Details
Item Type: |
University of Pittsburgh ETD
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Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
15 June 2017 |
Date Type: |
Publication |
Defense Date: |
22 February 2017 |
Approval Date: |
15 June 2017 |
Submission Date: |
3 April 2017 |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Number of Pages: |
64 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Dietrich School of Arts and Sciences > Psychology |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
adaptation, comprehension, prediction |
Date Deposited: |
15 Jun 2017 22:24 |
Last Modified: |
19 Jul 2024 19:05 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/31196 |
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