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Early perception of phrasal prosody and its role in syntactic and lexical acquisition
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In: The development of prosody in first language acquisition ; https://hal-univ-bourgogne.archives-ouvertes.fr/hal-01996751 ; Pilar Prieto, Núria Esteve-Gibert. The development of prosody in first language acquisition, 23, John Benjamins publishing compagny, pp.17-35, 2018, Trends in language acquisition research (ISSN 1569-0644), 978-90-272-0059-4 ; http://www.lscp.net/persons/decarvalho/tilar.23.02car.pdf (2018)
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Baby Cloud, a technological platform for parents and researchers
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In: LREC 2018 - 11th edition of the Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-01948107 ; LREC 2018 - 11th edition of the Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan (2018)
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Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-01888694 ; Cognition, Elsevier, 2018, 173, pp.43 - 59. ⟨10.1016/j.cognition.2017.11.008⟩ (2018)
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Abstract:
International audience ; Spectacular progress in the information processing sciences (machine learning, wearable sensors) promises to revolutionize the study of cognitive development. Here, we analyse the conditions under which ’reverse engineering’ language development, i.e., building an effective system thatmimics infant’s achievements, can contribute to our scientific understanding of early language development. We argue that, on the computational side, it is important to move from toy problems to the full complexity of the learning situation, and take as input as faithful reconstructions of the sensorysignals available to infants as possible. On the data side, accessible but privacy-preserving repositories of home data have to be setup. On the psycholinguistic side, specific tests have to be constructed to benchmark humans and machines at different linguistic levels. We discuss the feasibility of this approach and present an overview of current results.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SCCO.LING]Cognitive science/Linguistics; [SCCO]Cognitive science; Artificial intelligence; compu-tational modeling; Computational modeling; corpus analysis; early language acquisi-tion; Early language acquisition; infant development; language bootstrapping; machine learning; psycholinguistics; speech
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URL: https://hal.archives-ouvertes.fr/hal-01888694/file/1607.08723.pdf
https://hal.archives-ouvertes.fr/hal-01888694/document
https://hal.archives-ouvertes.fr/hal-01888694
https://doi.org/10.1016/j.cognition.2017.11.008
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Sampling strategies in Siamese Networks for unsupervised speech representation learning
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In: Interspeech 2018 ; https://hal.archives-ouvertes.fr/hal-01888725 ; Interspeech 2018, Sep 2018, Hyderabad, India (2018)
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Separation and acquisition of two languages in early childhood: A multidisciplinary approach ; Séparation et acquisition de deux langues chez le jeune enfant : une approche pluridisciplinaire
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In: https://hal.archives-ouvertes.fr/tel-01948483 ; Linguistics. Université de recherche Paris Sciences et Lettres , 2018. English (2018)
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