Document Detail


Evidence for self-organized sentence processing: digging-in effects.
MedLine Citation:
PMID:  14979816     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Dynamical, self-organizing models of sentence processing predict "digging-in" effects: The more committed the parser becomes to a wrong syntactic choice, the harder it is to reanalyze. Experiment 1 replicates previous grammaticality judgment studies (F. Ferreira & J. M. Henderson, 1991b, 1993), revealing a deleterious effect of lengthening the ambiguous region of a garden-path sentence. The authors interpret this result as a digging-in effect. Experiment 2 finds a corresponding effect on reading times. Experiment 3 finds that making 2 wrong attachments is worse than making 1. Non-self-organizing models require multiple stipulations to predict both kinds of effects. The authors show that, under an appropriately formulated self-organizing account, both results stem from self-reinforcement of node and link activations, a feature that is needed independently. An implemented model is given.
Authors:
Whitney Tabor; Sean Hutchins
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of experimental psychology. Learning, memory, and cognition     Volume:  30     ISSN:  0278-7393     ISO Abbreviation:  J Exp Psychol Learn Mem Cogn     Publication Date:  2004 Mar 
Date Detail:
Created Date:  2004-02-24     Completed Date:  2004-06-25     Revised Date:  2007-11-14    
Medline Journal Info:
Nlm Unique ID:  8207540     Medline TA:  J Exp Psychol Learn Mem Cogn     Country:  United States    
Other Details:
Languages:  eng     Pagination:  431-50     Citation Subset:  IM    
Affiliation:
Department of Psychology, University of Connecticut, Storrs, CT 06269, USA. tabor@uconnvm.uconn.edu
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MeSH Terms
Descriptor/Qualifier:
Comprehension*
Humans
Psycholinguistics
Reaction Time
Reading*
Semantics*
Grant Support
ID/Acronym/Agency:
HD 40353/HD/NICHD NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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