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Do Infants Really Learn Phonetic Categories?
In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-03550830 ; Open Mind, MIT Press, 2021, 5, pp.113-131. ⟨10.1162/opmi_a_00046⟩ (2021)
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Early phonetic learning without phonetic categories -- Insights from large-scale simulations on realistic input
In: ISSN: 0027-8424 ; EISSN: 1091-6490 ; Proceedings of the National Academy of Sciences of the United States of America ; https://hal.archives-ouvertes.fr/hal-03070566 ; Proceedings of the National Academy of Sciences of the United States of America , National Academy of Sciences, 2021, 118 (7), pp.e2001844118. ⟨10.1073/pnas.2001844118⟩ (2021)
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3
Making Heads or Tails of it: A Competition–Compensation Account of Morphological Deficits in Language Impairment
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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4
A phonetic model of non-native spoken word processing ...
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5
Making Heads or Tails of it: A Competition–Compensation Account of Morphological Deficits in Language Impairment ...
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6
Do Infants Really Learn Phonetic Categories?
In: Open Mind (Camb) (2021)
Abstract: Early changes in infants’ ability to perceive native and nonnative speech sound contrasts are typically attributed to their developing knowledge of phonetic categories. We critically examine this hypothesis and argue that there is little direct evidence of category knowledge in infancy. We then propose an alternative account in which infants’ perception changes because they are learning a perceptual space that is appropriate to represent speech, without yet carving up that space into phonetic categories. If correct, this new account has substantial implications for understanding early language development.
Keyword: Perspective
URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746127/
https://doi.org/10.1162/opmi_a_00046
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7
Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input
In: Proc Natl Acad Sci U S A (2021)
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8
When context is and isn’t helpful: A corpus study of naturalistic speech [<Journal>]
Hitczenko, Kasia [Verfasser]; Mazuka, Reiko [Verfasser]; Elsner, Micha [Verfasser].
DNB Subject Category Language
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9
Evaluating computational models of infant phonetic learning across languages ...
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10
Modeling the Learning of the Person Case Constraint
In: Proceedings of the Society for Computation in Linguistics (2020)
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11
Normalization may be ineffective for phonetic category learning ...
Hitczenko, Kasia; Mazuka, Reiko; Elsner, Micha. - : University of Massachusetts Amherst, 2019
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12
An Affiliative Model of Early Lexical Learning
Tripp, Alayo. - 2019
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13
How to use context for phonetic learning and perception from naturalistic speech
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14
Normalization may be ineffective for phonetic category learning
In: Proceedings of the Society for Computation in Linguistics (2019)
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15
Young infants’ discrimination of subtle phonetic contrasts
In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-01841528 ; Cognition, Elsevier, 2018, 178, pp.57 - 66. &#x27E8;10.1016/j.cognition.2018.05.009&#x27E9; (2018)
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16
Young infants’ discrimination of subtle phonetic contrasts
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17
Proceedings of the 41th Annual Boston University Conference on Language Development [held November 4-6, 2016, in Boston] 1. 1
In: 1 (2017), S. 32-45
Leibniz-Zentrum Allgemeine Sprachwissenschaft
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18
Infant directed speech is consistent with teaching ...
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19
Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts
Barrios, Shannon L.; Namyst, Anna M.; Lau, Ellen F.. - : Frontiers Media S.A., 2016
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20
Computational modeling of the role of discourse information in language production and language acquisition
Orita, Naho. - 2015
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