Melody Dye

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Michael RamscarUniversity of TübingenDirección de correo verificada de uni-tuebingen.de
Michael N JonesW. K. Estes Professor, Indiana UniversityDirección de correo verificada de indiana.edu
Brendan T. JohnsMcGill UniversityDirección de correo verificada de mcgill.ca
Richard FutrellAssociate Professor, UC Irvine Language ScienceDirección de correo verificada de uci.edu
Petar MilinProfessor, The University of Birmingham, UKDirección de correo verificada de bham.ac.uk
Stewart M. McCauleyUniversity of IowaDirección de correo verificada de uiowa.edu
Harald BaayenProfessor of Quantitative Linguistics, University of TuebingenDirección de correo verificada de uni-tuebingen.de
Teenie MatlockProfessor Emerita of Cognitive ScienceDirección de correo verificada de ucmerced.edu
Avneesh SalujaSenior Staff Research Scientist, NetflixDirección de correo verificada de cs.cmu.edu
James P BlevinsProfessor, George Mason UniversityDirección de correo verificada de gmu.edu
Peter HendrixAssisant professor, Tilburg UniversityDirección de correo verificada de tilburguniversity.edu
Rebecca L. StarrNational University of SingaporeDirección de correo verificada de nus.edu.sg
Nal KalchbrennerGoogle DeepMindDirección de correo verificada de google.com
Natasha KirkhamProfessor of Developmental Psychology, Centre for Brain and Cognitive Development, Dept ofDirección de correo verificada de bbk.ac.uk
Kevin J. HolmesAssociate Professor of Psychology, Reed CollegeDirección de correo verificada de reed.edu
Steven ShermanProfessor of Psychology, Indiana UniversityDirección de correo verificada de ucdavis.edu
Gregory E. CoxSUNY University at AlbanyDirección de correo verificada de albany.edu
Seth FreyAssociate Professor, University of California, DavisDirección de correo verificada de ucdavis.edu

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Melody Dye

Senior Machine Learning Scientist, Netflix Research

Dirección de correo verificada de netflix.com - Página principal


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
The effects of feature‐label‐order and their implications for symbolic learning M Ramscar, D Yarlett, M Dye, K Denny, K Thorpe Cognitive science 34 (6), 909-957, 2010	388	2010
Error and expectation in language learning: The curious absence of" mouses" in adult speech M Ramscar, M Dye, SM McCauley Language, 760-793, 2013	286	2013
Children value informativity over logic in word learning M Ramscar, M Dye, J Klein Psychological science 24 (6), 1017-1023, 2013	136	2013
The influence of contextual diversity on word learning BT Johns, M Dye, MN Jones Psychonomic bulletin & review 23, 1214-1220, 2016	132	2016
Context as an organizing principle of the lexicon MN Jones, M Dye, BT Johns Psychology of learning and motivation 67, 239-283, 2017	82	2017
Dual routes to cognitive flexibility: Learning and response‐conflict resolution in the Dimensional Change Card Sort task M Ramscar, M Dye, JW Gustafson, J Klein Child development 84 (4), 1308-1323, 2013	77	2013
A functional theory of gender paradigms M Dye, P Milin, R Futrell, M Ramscar Perspectives on morphological organization, 212-239, 2017	72	2017
The enigma of number: Why children find the meanings of even small number words hard to learn and how we can help them do better M Ramscar, M Dye, HM Popick, F O'Donnell-McCarthy PloS one 6 (7), e22501, 2011	72	2011
Running down the clock: The role of expectation in our understanding of time and motion M Ramscar, T Matlock, M Dye Language and Cognitive Processes 25 (5), 589-615, 2010	69	2010
Learning language from the input: Why innate constraints can’t explain noun compounding M Ramscar, M Dye Cognitive Psychology 62 (1), 1-40, 2011	49	2011
Alternative solutions to a language design problem: The role of adjectives and gender marking in efficient communication M Dye, P Milin, R Futrell, M Ramscar Topics in cognitive science 10 (1), 209-224, 2018	43*	2018
Estimating the prevalence and diversity of words in written language BT Johns, M Dye, MN Jones Quarterly Journal of Experimental Psychology 73 (6), 841-855, 2020	41	2020
Gender bias at scale: Evidence from the usage of personal names BT Johns, M Dye Behavior research methods 51, 1601-1618, 2019	30	2019
Morphological development M Ramscar, M Dye, J Blevins, H Baayen Handbook of Communications Disorders: Theoretical, Empirical, and Applied …, 2018	21	2018
The ‘universal’structure of name grammars and the impact of social engineering on the evolution of natural information systems M Ramscar, AH Smith, M Dye, R Futrell, P Hendrix, H Baayen, R Starr Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013	15	2013
Supporting content decision makers with machine learning M Dye, C Ekanadham, A Saluja, A Rastogi Netflix Technology Blog, 2020	14	2020
Grammatical number processing and anticipatory eye movements are not tightly coordinated in English spoken language comprehension B Riordan, M Dye, MN Jones Frontiers in Psychology 6, 590, 2015	14	2015
When the fly flied and when the fly flew: How semantics affect the processing of inflected verbs M Ramscar, M Dye, M Hübner Language and Cognitive Processes 28 (4), 468-497, 2013	13	2013
The Influence of Contextual Variability in Word Learning. BT Johns, M Dye, MN Jones Grantee Submission, 2015	11	2015
Why Johnny can't name his colors M Dye Scientific American Mind 22 (2), 48-51, 2011	10	2011

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