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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 Hits 1 – 20 of 43 1 Mapping Languages: The Corpus of Global Language Use Dunn J. - 2020 BASE Show details 2 Measuring Linguistic Diversity During COVID-19 Coupe T; Dunn J; Adams B. - 2020 BASE Show details 3 Multi-unit association measures: Moving beyond pairs of words Dunn J. - 2019 BASE Show details 4 What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language Dunn J. - 2019 BASE Show details 5 Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar Dunn J. - : Association for Computational Linguistics, 2019 BASE Show details 6 Measuring Metaphoricity Dunn J. - 2019 BASE Show details 7 Multi-Dimensional Abstractness in Cross-Domain Mappings Dunn J. - 2019 BASE Show details 8 Modeling the Complexity and Descriptive Adequacy of Construction Grammars Dunn J. - 2019 BASE Show details 9 Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology Dunn J. - 2019 BASE Show details 10 Language-Independent Ensemble Approaches to Metaphor Identification Taylor M; Dunn J; Kanareykin S. - 2019 BASE Show details 11 How linguistic structure influences and helps to predict metaphoric meaning Dunn J. - : Walter de Gruyter GmbH, 2019 BASE Show details 12 Modeling Global Syntactic Variation in English Using Dialect Classification Dunn J. - : Association for Computational Linguistics, 2019 BASE Show details 13 Finding variants for construction-based dialectometry: A corpus-based approach to regional CxGs Dunn J. - : Walter de Gruyter GmbH, 2019 BASE Show details 14 CATALISE: A multinational and multidisciplinary Delphi consensus study. Identifying language impairments in children Bishop, D.V.M.; Snowling, M.J.; Thompson, P.A.. - : Public Library of Science, 2016 BASE Show details 15 CATALISE: A multinational and multidisciplinary Delphi consensus study. Identifying language impairments in children Bishop, DVM; Snowling, MJ; Thompson, PA... In: PLoS ONE , 11 (7) , Article e0158753. (2016) (2016) BASE Show details 16 CATALISE: A multinational and multidisciplinary Delphi consensus study. Identifying language impairments in children Baird, G; Carter, G; Westerveld, M. - : Public Library of Science, 2016 BASE Show details 17 Exploring the knowledge behind predictions in everyday cognition: an iterated learning study Stephens, R.; Dunn, J.; Rao, L.; Li, S.. - : Springer US, 2015 Abstract: Making accurate predictions about events is an important but difficult task. Recent work suggests that people are adept at this task, making predictions that reflect surprisingly accurate knowledge of the distributions of real quantities. Across three experiments, we used an iterated learning procedure to explore the basis of this knowledge: to what extent is domain experience critical to accurate predictions and how accurate are people when faced with unfamiliar domains? In Experiment 1, two groups of participants, one resident in Australia, the other in China, predicted the values of quantities familiar to both (movie run-times), unfamiliar to both (the lengths of Pharaoh reigns), and familiar to one but unfamiliar to the other (cake baking durations and the lengths of Beijing bus routes). While predictions from both groups were reasonably accurate overall, predictions were inaccurate in the selectively unfamiliar domains and, surprisingly, predictions by the China-resident group were also inaccurate for a highly familiar domain: local bus route lengths. Focusing on bus routes, two follow-up experiments with Australia-resident groups clarified the knowledge and strategies that people draw upon, plus important determinants of accurate predictions. For unfamiliar domains, people appear to rely on extrapolating from (not simply directly applying) related knowledge. However, we show that people's predictions are subject to two sources of error: in the estimation of quantities in a familiar domain and extension to plausible values in an unfamiliar domain. We propose that the key to successful predictions is not simply domain experience itself, but explicit experience of relevant quantities. ; Rachel G. Stephens, John C. Dunn, Li-Lin Rao, Shu Li Keyword: Bayesian inference; Cross-cultural comparison; Everyday reasoning; Iterated learning URL: https://doi.org/10.3758/s13421-015-0522-6 http://hdl.handle.net/2440/94996 BASE Hide details 18 Fluency Profiling System: an automated system for analyzing the temporal properties of speech Little, D.; Oehmen, R.; Dunn, J.. - : Psychonomic Soc Inc, 2013 BASE Show details 19 New Consecution Calculi for Rt→. Bimbó, Katalin; Michael Dunn, J In: Notre Dame journal of formal logic. - Durham, NC : Duke University Press 53 (2012) 4, 491-510 OLC Linguistik Show details 20 Calculi for symmetric generalized Galois logics Bimbó, Katalin; Dunn, J. Michael In: Linguistic analysis. - Vashon Island, Wash. : Linguistic Analysis 36 (2006) 1-4, 307-343 BLLDB OLC Linguistik Show details Page: 1 2 3

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