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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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Abstract:
Sound categories often overlap in their acoustics, which can make phonetic learning difficult. Several studies argued that normalizing acoustics relative to context improves category separation (e.g. Dillon et al., 2013). However, recent work shows that normalization is ineffective for learning Japanese vowel length from spontaneous child-directed speech (Hitczenko et al., 2018). We show that this discrepancy arises from differences between spontaneous and controlled lab speech, and that normalization can increase category overlap when there are regularities in which contexts different sounds occur in - a hallmark of spontaneous speech. Therefore, normalization is unlikely to help in real, naturalistic phonetic learning situations.
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Keyword:
Computational Linguistics; normalization; phonetic learning
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URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1058&context=scil https://scholarworks.umass.edu/scil/vol2/iss1/51
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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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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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