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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 Hits 1 – 20 of 84 1 Variable pronunciations reveal dynamic intra-speaker variation in speech planning [<Journal>] Kilbourn-Ceron, Oriana [Verfasser]; Goldrick, Matthew [Verfasser] DNB Subject Category Language Show details 2 The voice of experience: Causal inference in phonotactic adaptation Denby, Thomas; Goldrick, Matthew In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 5 ; 1868-6354 (2021) BASE Show details 3 Variable pronunciations reveal dynamic intra-speaker variation in speech planning Kilbourn-Ceron, Oriana; Goldrick, Matthew In: Psychon Bull Rev (2021) BASE Show details 4 Using automated acoustic analysis to explore the link between planning and articulation in second language speech production ... Goldrick, Matthew; Shrem, Yosi; Kilbourn-Ceron, Oriana. - : Taylor & Francis, 2020 BASE Show details 5 Using automated acoustic analysis to explore the link between planning and articulation in second language speech production ... Goldrick, Matthew; Shrem, Yosi; Kilbourn-Ceron, Oriana. - : Taylor & Francis, 2020 BASE Show details 6 Phonetics of Baus, Costa, and Carreiras (2013) ... Goldrick, Matthew; Kilbourn-Ceron, Oriana; Baus, Cristina. - : Open Science Framework, 2020 BASE Show details 7 Understanding Language Abnormalities and Associated Clinical Markers in Psychosis: The Promise of Computational Methods Hitczenko, Kasia; Mittal, Vijay A; Goldrick, Matthew In: Schizophr Bull (2020) Abstract: The language and speech of individuals with psychosis reflect their impairments in cognition and motor processes. These language disturbances can be used to identify individuals with and at high risk for psychosis, as well as help track and predict symptom progression, allowing for early intervention and improved outcomes. However, current methods of language assessment—manual annotations and/or clinical rating scales—are time intensive, expensive, subject to bias, and difficult to administer on a wide scale, limiting this area from reaching its full potential. Computational methods that can automatically perform linguistic analysis have started to be applied to this problem and could drastically improve our ability to use linguistic information clinically. In this article, we first review how these automated, computational methods work and how they have been applied to the field of psychosis. We show that across domains, these methods have captured differences between individuals with psychosis and healthy controls and can classify individuals with high accuracies, demonstrating the promise of these methods. We then consider the obstacles that need to be overcome before these methods can play a significant role in the clinical process and provide suggestions for how the field should address them. In particular, while much of the work thus far has focused on demonstrating the successes of these methods, we argue that a better understanding of when and why these models fail will be crucial toward ensuring these methods reach their potential in the field of psychosis. Keyword: Regular Articles URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480175/ https://doi.org/10.1093/schbul/sbaa141 http://www.ncbi.nlm.nih.gov/pubmed/33205155 BASE Hide details 8 Turbid Output Representations and the Unity of Opacity Goldrick, Matthew In: North East Linguistics Society (2020) BASE Show details 9 Learning a gradient grammar of French liaison Smolensky, Paul; Rosen, Eric; Goldrick, Matthew In: Proceedings of the Annual Meetings on Phonology; Proceedings of the 2019 Annual Meeting on Phonology ; 2377-3324 (2020) BASE Show details 10 Constraints on Adaptation: Phonotactics and Speaker Language Background ... Denby, Thomas; Goldrick, Matthew. - : Open Science Framework, 2019 BASE Show details 11 Generating Natural, Intelligible Speech From Brain Activity in Motor, Premotor, and Inferior Frontal Cortices Herff, Christian; Diener, Lorenz; Angrick, Miguel. - : Frontiers Media S.A., 2019 BASE Show details 12 Transient blend states and discrete agreement-driven errors in sentence production Goldrick, Matthew; Brehm, Laurel; Cho, Pyeong Whan... In: Proceedings of the Society for Computation in Linguistics (2019) BASE Show details 13 Connectionist principles in theories of speech production Brehm, Laurel; Goldrick, Matthew In: The Oxford handbook of psycholinguistics (Oxford, 2018), p. 372-397 MPI für Psycholinguistik Show details 14 The neurocognitive mechanisms of speech production McClain, Rhonda; Goldrick, Matthew In: Language & thought (Hoboken, NJ, 2018), p. 47-74 MPI für Psycholinguistik Show details 15 Differential Representation of Articulatory Gestures and Phonemes in Precentral and Inferior Frontal Gyri Mugler, Emily M.; Tate, Matthew C.; Livescu, Karen. - : Society for Neuroscience, 2018 BASE Show details 16 The influence of lexical selection disruptions on articulation Goldrick, Matthew; McClain, Rhonda; Cibelli, Emily... In: J Exp Psychol Learn Mem Cogn (2018) BASE Show details 17 Bilinguals’ twisted tongues: Frequency lag or interference? [<Journal>] Li, Chuchu [Verfasser]; Goldrick, Matthew [Sonstige]; Gollan, Tamar H. [Sonstige] DNB Subject Category Language Show details 18 The role of linguistic experience in the processing of probabilistic information in production ... Gustafson, Erin; Goldrick, Matthew. - : Taylor & Francis, 2017 BASE Show details 19 The role of linguistic experience in the processing of probabilistic information in production ... Gustafson, Erin; Goldrick, Matthew. - : Taylor & Francis, 2017 BASE Show details 20 Interactions between lexical access and articulation ... Fink, Angela; Oppenheim, Gary M.; Goldrick, Matthew. - : Taylor & Francis, 2017 BASE Show details Page: 1 2 3 4 5

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