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Do Infants Really Learn Phonetic Categories?
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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
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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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Making Heads or Tails of it: A Competition–Compensation Account of Morphological Deficits in Language Impairment
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Making Heads or Tails of it: A Competition–Compensation Account of Morphological Deficits in Language Impairment ...
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Do Infants Really Learn Phonetic Categories?
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In: Open Mind (Camb) (2021)
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Early phonetic learning without phonetic categories: Insights from large-scale simulations on realistic input
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In: Proc Natl Acad Sci U S A (2021)
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Evaluating computational models of infant phonetic learning across languages ...
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Modeling the Learning of the Person Case Constraint
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Normalization may be ineffective for phonetic category learning ...
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How to use context for phonetic learning and perception from naturalistic speech
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Normalization may be ineffective for phonetic category learning
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Young infants’ discrimination of subtle phonetic contrasts
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-01841528 ; Cognition, Elsevier, 2018, 178, pp.57 - 66. ⟨10.1016/j.cognition.2018.05.009⟩ (2018)
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Infant directed speech is consistent with teaching ...
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Abstract:
Infant-directed speech (IDS) has distinctive properties that differ from adult-directed speech (ADS). Why it has these properties -- and whether they are intended to facilitate language learning -- is matter of contention. We argue that much of this disagreement stems from lack of a formal, guiding theory of how phonetic categories should best be taught to infant-like learners. In the absence of such a theory, researchers have relied on intuitions about learning to guide the argument. We use a formal theory of teaching, validated through experiments in other domains, as the basis for a detailed analysis of whether IDS is well-designed for teaching phonetic categories. Using the theory, we generate ideal data for teaching phonetic categories in English. We qualitatively compare the simulated teaching data with human IDS, finding that the teaching data exhibit many features of IDS, including some that have been taken as evidence IDS is not for teaching. The simulated data reveal potential pitfalls for ... : 21 pages, 5 figures ...
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Keyword:
FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://dx.doi.org/10.48550/arxiv.1606.01175 https://arxiv.org/abs/1606.01175
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Establishing New Mappings between Familiar Phones: Neural and Behavioral Evidence for Early Automatic Processing of Nonnative Contrasts
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Computational modeling of the role of discourse information in language production and language acquisition
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