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The Instructed Learning of Form–Function Mappings in the English Article System ...
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The Instructed Learning of Form–Function Mappings in the English Article System ...
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The Impact of Co-Occurrence and Context on the Prediction of Long-Distance Separable Prefixes ...
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The Impact of Co-Occurrence and Context on the Prediction of Long-Distance Separable Prefixes ...
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
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A Shared Platform for Studying Second Language Acquisition ...
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A Shared Platform for Studying Second Language Acquisition ...
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ...
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Automated Proposition Density Analysis for Discourse in Aphasia ...
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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, ...
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Keyword:
170204 Linguistic Processes incl. Speech Production and Comprehension; FOS Psychology
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URL: https://kilthub.cmu.edu/articles/Automated_Proposition_Density_Analysis_for_Discourse_in_Aphasia/5890258/1 https://dx.doi.org/10.1184/r1/5890258.v1
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