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1
Automated Proposition Density Analysis for Discourse in Aphasia ...
Fromm, Davida
;
Greenhouse, Joel
;
Kaiyue Hou
. - : Carnegie Mellon University, 2016
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2
Automated Proposition Density Analysis for Discourse in Aphasia ...
Fromm, Davida
;
Greenhouse, Joel
;
Kaiyue Hou
;
G. Austin Russell
;
Xizhen Cai
;
Forbes, Margaret
;
Holland, Audrey
;
Macwhinney, Brian
. - : Carnegie Mellon University, 2016
Abstract:
Purpose This study evaluates how proposition density can differentiate between persons with aphasia (PWA) and individuals in a control group, as well as among subtypes of aphasia, on the basis of procedural discourse and personal narratives collected from large samples of participants. Method Participants were 195 PWA and 168 individuals in a control group from the AphasiaBank database. PWA represented 6 aphasia types on the basis of the Western Aphasia Battery–Revised (Kertesz, 2006). Narrative samples were stroke stories for PWA and illness or injury stories for individuals in the control group. Procedural samples were from the peanut-butter-and-jelly-sandwich task. Language samples were transcribed using Codes for the Human Analysis of Transcripts (MacWhinney, 2000) and analyzed using Computerized Language Analysis (MacWhinney, 2000), which automatically computes proposition density (PD) using rules developed for automatic PD measurement by the Computerized Propositional Idea Density Rater program (Brown, ...
Keyword:
170204 Linguistic Processes incl. Speech Production and Comprehension
;
FOS Psychology
URL:
https://kilthub.cmu.edu/articles/Automated_Proposition_Density_Analysis_for_Discourse_in_Aphasia/5890258
https://dx.doi.org/10.1184/r1/5890258
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