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Melody Dye
Melody Dye
Senior Machine Learning Scientist, Netflix Research
Verified email at netflix.com - Homepage
Title
Cited by
Cited by
Year
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
3752010
Error and expectation in language learning: The curious absence of" mouses" in adult speech
M Ramscar, M Dye, SM McCauley
Language, 760-793, 2013
2752013
Children value informativity over logic in word learning
M Ramscar, M Dye, J Klein
Psychological science 24 (6), 1017-1023, 2013
1332013
The influence of contextual diversity on word learning
BT Johns, M Dye, MN Jones
Psychonomic bulletin & review 23, 1214-1220, 2016
1252016
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
752013
Context as an organizing principle of the lexicon
MN Jones, M Dye, BT Johns
Psychology of learning and motivation 67, 239-283, 2017
732017
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
702011
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
692010
A functional theory of gender paradigms
M Dye, P Milin, R Futrell, M Ramscar
Perspectives on morphological organization, 212-239, 2017
632017
Learning language from the input: Why innate constraints can’t explain noun compounding
M Ramscar, M Dye
Cognitive Psychology 62 (1), 1-40, 2011
492011
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
37*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
362020
Gender bias at scale: Evidence from the usage of personal names
BT Johns, M Dye
Behavior research methods 51, 1601-1618, 2019
252019
Morphological development
M Ramscar, M Dye, J Blevins, H Baayen
Handbook of Communications Disorders: Theoretical, Empirical, and Applied …, 2018
202018
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
152013
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
142015
Supporting content decision makers with machine learning
M Dye, C Ekanadham, A Saluja, A Rastogi
Netflix Technology Blog, 2020
132020
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
132013
The Influence of Contextual Variability in Word Learning.
BT Johns, M Dye, MN Jones
Grantee Submission, 2015
102015
Why Johnny can't name his colors
M Dye
Scientific American Mind 22 (2), 48-51, 2011
92011
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