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Hits 1 – 20 of 43
1
Mapping Languages: The Corpus of Global Language Use
Dunn J
. - 2020
BASE
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2
Measuring Linguistic Diversity During COVID-19
Coupe T
;
Dunn J
;
Adams B
. - 2020
BASE
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3
Multi-unit association measures: Moving beyond pairs of words
Dunn J
. - 2019
BASE
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4
What Metaphor Identification Systems Can Tell Us About Metaphor-in-Language
Dunn J
. - 2019
BASE
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5
Frequency vs. Association for Constraint Selection in Usage-Based Construction Grammar
Dunn J
. - : Association for Computational Linguistics, 2019
BASE
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6
Measuring Metaphoricity
Dunn J
. - 2019
BASE
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7
Multi-Dimensional Abstractness in Cross-Domain Mappings
Dunn J
. - 2019
BASE
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8
Modeling the Complexity and Descriptive Adequacy of Construction Grammars
Dunn J
. - 2019
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9
Global Syntactic Variation in Seven Languages: Towards a Computational Dialectology
Dunn J
. - 2019
BASE
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10
Language-Independent Ensemble Approaches to Metaphor Identification
Taylor M
;
Dunn J
;
Kanareykin S
. - 2019
BASE
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11
How linguistic structure influences and helps to predict metaphoric meaning
Dunn J
. - : Walter de Gruyter GmbH, 2019
BASE
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12
Modeling Global Syntactic Variation in English Using Dialect Classification
Dunn J
. - : Association for Computational Linguistics, 2019
BASE
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13
Finding variants for construction-based dialectometry: A corpus-based approach to regional CxGs
Dunn J
. - : Walter de Gruyter GmbH, 2019
BASE
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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
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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
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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
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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
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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
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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
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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
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