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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 3 4 5...24 Hits 1 – 20 of 467 1 Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: The RELEASE database of aphasia after stroke Williams, Louise R.; Ali, Myzoon; VandenBerg, Kathryn... In: Research outputs 2014 to 2021 (2022) BASE Show details 2 Utilising a systematic review-based approach to create a database of individual participant data for meta- and network meta-analyses: the RELEASE database of aphasia after stroke WILLIAMS, Louise R.; ALI, Myzoon; VANDENBERG, Kathryn... In: ISSN: 0268-7038 ; EISSN: 1464-5041 ; Aphasiology ; https://hal.archives-ouvertes.fr/hal-03528818 ; Aphasiology, Taylor & Francis (Routledge), 2021, &#x27E8;10.1080/02687038.2021.1897081&#x27E9; (2021) BASE Show details 3 IPSyn: Psychometric properties and modifications (Yang et al., 2021) ... Yang, Ji Seung; MacWhinney, Brian; Ratner, Nan Bernstein. - : ASHA journals, 2021 BASE Show details 4 IPSyn: Psychometric properties and modifications (Yang et al., 2021) ... Yang, Ji Seung; MacWhinney, Brian; Ratner, Nan Bernstein. - : ASHA journals, 2021 BASE Show details 5 Detecting cognitive decline using speech only: The ADReSSo Challenge ... Luz, Saturnino; Haider, Fasih; de la Fuente, Sofia; Fromm, Davida; MacWhinney, Brian. - : arXiv, 2021 Abstract: Building on the success of the ADReSS Challenge at Interspeech 2020, which attracted the participation of 34 teams from across the world, the ADReSSo Challenge targets three difficult automatic prediction problems of societal and medical relevance, namely: detection of Alzheimer's Dementia, inference of cognitive testing scores, and prediction of cognitive decline. This paper presents these prediction tasks in detail, describes the datasets used, and reports the results of the baseline classification and regression models we developed for each task. A combination of acoustic and linguistic features extracted directly from audio recordings, without human intervention, yielded a baseline accuracy of 78.87% for the AD classification task, an MMSE prediction root mean squared (RMSE) error of 5.28, and 68.75% accuracy for the cognitive decline prediction task. ... Keyword: Audio and Speech Processing eess.AS; Computation and Language cs.CL; FOS Computer and information sciences; FOS Electrical engineering, electronic engineering, information engineering; Machine Learning cs.LG; Sound cs.SD URL: https://arxiv.org/abs/2104.09356 https://dx.doi.org/10.48550/arxiv.2104.09356 BASE Hide details 6 Making Sense of Right Hemisphere Discourse Using RHDBank Minga, Jamila; Johnson, Melissa; Blake, Margaret Lehman... In: Top Lang Disord (2021) BASE Show details 7 A Comparison of Manual Versus Automated Quantitative Production Analysis of Connected Speech Fromm, Davida; Katta, Saketh; Paccione, Mason... In: J Speech Lang Hear Res (2021) BASE Show details 8 RELEASE: A protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia Brady, Marian C.; Ali, Myzoon; VandenBerg, Kathryn... In: Research outputs 2014 to 2021 (2020) BASE Show details 9 RELEASE: a protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia Brady, Marian C.; Ali, Myzoon; VandenBerg, Kathryn. - : Taylor & Francis, 2020 BASE Show details 10 RELEASE: a protocol for a systematic review based, individual participant data, meta- and network meta-analysis, of complex speech-language therapy interventions for stroke-related aphasia Brady, Marian C.; Ali, Myzoon; VandenBerg, Kathryn. - : ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2020 BASE Show details 11 Use of Computerized Language Analysis to Assess Child Language Garbarino, Julianne; Ratner, Nan Bernstein; MacWhinney, Brian In: Lang Speech Hear Serv Sch (2020) BASE Show details 12 Using AphasiaBank for Discourse Assessment Fromm, Davida [Sonstige]; Forbes, Margaret [Sonstige]; Holland, Audrey [Sonstige]. - 2019 DNB Subject Category Language Show details 13 Language attrition and the competition model MacWhinney, Brian In: The Oxford handbook of language attrition (Oxford, 2019), p. 7-17 MPI für Psycholinguistik Show details 14 Discourse recovery after severe traumatic brain injury: exploring the first year Elbourn, Elise; Kenny, Belinda; Power, Emma... In: Brain Inj (2019) BASE Show details 15 Discourse recovery after severe traumatic brain injury : exploring the first year Elbourn, Elise; Kenny, Belinda J. (R19919); Power, Emma. - : U.K., Taylor & Francis, 2019 BASE Show details 16 The Handbook of Language Emergence MacWhinney, Brian [Herausgeber]; O'Grady, William [Herausgeber]. - New York, NY : John Wiley & Sons, 2018 DNB Subject Category Language Show details 17 Understanding spoken language through TalkBank [<Journal>] MacWhinney, Brian [Verfasser] DNB Subject Category Language Show details 18 A unified model of first and second language learning MacWhinney, Brian In: Sources of variation in first language acquisition (Amsterdam, 2018), p. 287-312 MPI für Psycholinguistik Show details 19 A unified model of first and second language learning MacWhinney, Brian In: Sources of variation in first language acquisition : languages, contexts, and learners (2018), S. 287-311 Leibniz-Zentrum Allgemeine Sprachwissenschaft Show details 20 The Emergence of Linguistic Form in Time ... Macwhinney, Brian. - : Figshare, 2018 BASE Show details Page: 1 2 3 4 5...24

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