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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 26 1 A Cognitive Linguistics Application for Second Language Pedagogy: The English Preposition Tutor ... Wong, Man Ho Ivy; Zhao, Helen; Macwhinney, Brian. - : Carnegie Mellon University, 2018 BASE Show details 2 Exposure Is Not Enough ... Macwhinney, Brian. - : Carnegie Mellon University, 2018 BASE Show details 3 A Cognitive Linguistics Application for Second Language Pedagogy: The English Preposition Tutor ... Wong, Man Ho Ivy; Zhao, Helen; Macwhinney, Brian. - : Carnegie Mellon University, 2018 BASE Show details 4 TalkBank and CLARIN ... Macwhinney, Brian. - : Figshare, 2018 BASE Show details 5 TalkBank and CLARIN ... Macwhinney, Brian. - : Figshare, 2018 BASE Show details 6 Exposure Is Not Enough ... Macwhinney, Brian. - : Carnegie Mellon University, 2018 BASE Show details 7 Are These Approaches Incompatible? ... Macwhinney, Brian. - : Carnegie Mellon University, 2017 BASE Show details 8 The Instructed Learning of Form–Function Mappings in the English Article System ... Zhao, Helen; Macwhinney, Brian. - : Carnegie Mellon University, 2017 BASE Show details 9 The Instructed Learning of Form–Function Mappings in the English Article System ... Zhao, Helen; Macwhinney, Brian. - : Carnegie Mellon University, 2017 BASE Show details 10 Are These Approaches Incompatible? ... Macwhinney, Brian. - : Carnegie Mellon University, 2017 BASE Show details 11 The Impact of Co-Occurrence and Context on the Prediction of Long-Distance Separable Prefixes ... Walter, Daniel; Macwhinney, Brian. - : Carnegie Mellon University, 2017 BASE Show details 12 The Impact of Co-Occurrence and Context on the Prediction of Long-Distance Separable Prefixes ... Walter, Daniel; Macwhinney, Brian. - : Carnegie Mellon University, 2017 BASE Show details 13 Fostering Human Rights Through TalkBank ... Macwhinney, Brian; Fromm, Davida; Rose, Yvan. - : Carnegie Mellon University, 2017 BASE Show details 14 Fostering Human Rights Through TalkBank ... Macwhinney, Brian; Fromm, Davida; Rose, Yvan. - : Carnegie Mellon University, 2017 BASE Show details 15 Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ... Tsvetkov, Yulia; Manaal Faruqui; Ling, Wang. - : Carnegie Mellon University, 2016 BASE Show details 16 AphasiaBank as BigData ... Macwhinney, Brian; Fromm, Davida. - : Carnegie Mellon University, 2016 BASE Show details 17 A Shared Platform for Studying Second Language Acquisition ... Macwhinney, Brian. - : Carnegie Mellon University, 2016 BASE Show details 18 A Shared Platform for Studying Second Language Acquisition ... Macwhinney, Brian. - : Carnegie Mellon University, 2016 BASE Show details 19 Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning ... Tsvetkov, Yulia; Manaal Faruqui; Ling, Wang. - : Carnegie Mellon University, 2016 BASE Show details 20 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/5890258/1 https://dx.doi.org/10.1184/r1/5890258.v1 BASE Hide details Page: 1 2

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