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Naomi Feldman
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The influence of categories on perception: Explaining the perceptual magnet effect as optimal statistical inference
NH Feldman, TL Griffiths, JL Morgan
Psychological Review 116 (4), 752-782, 2009
3122009
Exemplar models as a mechanism for performing Bayesian inference
L Shi, TL Griffiths, NH Feldman, AN Sanborn
Psychonomic Bulletin & Review 17 (4), 443-464, 2010
1702010
A role for the developing lexicon in phonetic category acquisition
NH Feldman, TL Griffiths, S Goldwater, JL Morgan
Psychological Review 120 (4), 751-778, 2013
1682013
Learning phonetic categories by learning a lexicon
NH Feldman, TL Griffiths, JL Morgan
Proceedings of the 31st Annual Conference of the Cognitive Science Society …, 2009
116*2009
Word-level information influences phonetic learning in adults and infants
NH Feldman, EB Myers, KS White, TL Griffiths, JL Morgan
Cognition 127 (3), 427-438, 2013
1092013
A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition
A Jansen, E Dupoux, S Goldwater, M Johnson, S Khudanpur, K Church, ...
Proceedings of ICASSP 2013, 2013
1052013
Infant-directed speech is consistent with teaching
BS Eaves Jr, NH Feldman, TL Griffiths, P Shafto
Psychological Review, 2016
582016
A joint learning model of word segmentation, lexical acquisition, and phonetic variability
M Elsner, S Goldwater, NH Feldman, F Wood
Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013
492013
A unified account of categorical effects in phonetic perception
Y Kronrod, E Coppess, NH Feldman
Psychonomic Bulletin & Review 23 (6), 1681-1712, 2016
482016
A rational account of the perceptual magnet effect
NH Feldman, TL Griffiths
Proceedings of the 29th Annual Conference of the Cognitive Science Society …, 2007
392007
Performing Bayesian inference with exemplar models
L Shi, NH Feldman, TL Griffiths
Proceedings of the 30th Annual Conference of the Cognitive Science Society …, 2008
372008
Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input
T Schatz, NH Feldman, S Goldwater, XN Cao, E Dupoux
Proceedings of the National Academy of Sciences 118 (7), 2021
34*2021
Modeling N400 amplitude using vector space models of word representation
A Ettinger, NH Feldman, P Resnik, C Phillips
Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016
342016
Why discourse affects speakers' choice of referring expressions
N Orita, E Vornov, NH Feldman, H Daumé III
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
312015
Modeling statistical insensitivity: Sources of suboptimal behavior
A Gagliardi, NH Feldman, J Lidz
Cognitive Science 41 (1), 188-217, 2017
212017
Learners use word-level statistics in phonetic category acquisition
N Feldman, E Myers, K White, T Griffiths, JL Morgan
Proceedings of the 35th Boston University Conference on Language Development …, 2011
212011
Neural network vs. HMM speech recognition systems as models of human cross-linguistic phonetic perception
T Schatz, NH Feldman
Proceedings of the Conference on Cognitive Computational Neuroscience, 2018
192018
The learner as statistician: three principles of computational success in language acquisition
M Soderstrom, E Conwell, N Feldman, J Morgan
Developmental Science 12 (3), 409-411, 2009
192009
Young infants' discrimination of subtle phonetic contrasts
M Sundara, C Ngon, K Skoruppa, NH Feldman, GM Onario, JL Morgan, ...
Cognition 178, 57-66, 2018
182018
Learning an input filter for argument structure acquisition
L Perkins, NH Feldman, J Lidz
Proceedings of the 7th Workshop on Cognitive Modeling and Computational …, 2017
18*2017
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Articles 1–20