ERIC Number: EJ1016066
Record Type: Journal
Publication Date: 2014-Jan
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0142-7164
EISSN: N/A
Available Date: N/A
Lexically Specific Knowledge and Individual Differences in Adult Native Speakers' Processing of the English Passive
Street, James A.; Dabrowska, Ewa
Applied Psycholinguistics, v35 n1 p97-118 Jan 2014
This article provides experimental evidence for the role of lexically specific representations in the processing of passive sentences and considerable education-related differences in comprehension of the passive construction. The experiment measured response time and decision accuracy of participants with high and low academic attainment using an online task that compared processing and comprehension of active and passive sentences containing verbs strongly associated with the passive and active constructions, as determined by collostructional analysis. As predicted by usage-based accounts, participants' performance was influenced by frequency (both groups processed actives faster than passives; the low academic attainment participants also made significantly more errors on passive sentences) and lexical specificity (i.e., processing of passives was slower with verbs strongly associated with the active). Contra to proposals made by Dabrowska and Street (2006), the results suggest that all participants have verb-specific as well as verb-general representations, but that the latter are not as entrenched in the participants with low academic attainment, resulting in less reliable performance. The results also show no evidence of a speed--accuracy trade-off, making alternative accounts of the results (e.g., those of two-stage processing models, such as Townsend & Bever, 2001) problematic.
Descriptors: Language Processing, Form Classes (Languages), Adults, Psycholinguistics, Correlation, Individual Differences, Native Speakers, Reaction Time, Verbs, Language Research, Accuracy, Educational Attainment, Task Analysis, Comprehension, Models, Prediction, Language Usage, Computer Assisted Testing
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
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