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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: ISSN: 0963-7214 ; EISSN: 1467-8721 ; Current Directions in Psychological Science ; https://hal-amu.archives-ouvertes.fr/hal-02566111 ; Current Directions in Psychological Science, Association for Psychological Science, 2020, pp.096372142091587. ⟨10.1177/0963721420915873⟩ (2020)
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: Current Directions in Psychological Science, Vol. 29, no. 3 (Jun 2020), pp. 293-300 (2020)
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Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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In: Curr Dir Psychol Sci (2020)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models
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In: ISSN: 0956-7976 ; Psychological Science ; https://hal-amu.archives-ouvertes.fr/hal-02011721 ; Psychological Science, Association for Psychological Science, 2019, pp.1-10. ⟨10.1177/0956797618823540⟩ (2019)
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Modeling the Variability of Developmental Dyslexia
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In: Developmental Dyslexia across Languages and Writing Systems ; https://hal-amu.archives-ouvertes.fr/hal-02308934 ; Developmental Dyslexia across Languages and Writing Systems, Cambridge University Press, pp.350-371, 2019, ⟨10.1017/9781108553377.016⟩ (2019)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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Understanding Dyslexia Through Personalized Large-Scale Computational Models ...
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Understanding dyslexia through personalized large-scale computational models
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In: Psychological Science, Vol. 30, no. 3 (Feb 2019), pp. 386-395 (2019)
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Modeling the variability of developmental dyslexia
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In: Developmental dyslexia across languages and writing systems / Ludo Verhoeven, Charles Perfetti and Kenneth Pugh (eds.), pp. 350-371 (2019)
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Understanding Dyslexia Through Personalized Large-Scale Computational Models
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| 11 |
Metrica e sintassi di Corrado Govoni: dall'Inaugurazione della primavera a Ronda di notte
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When silent letters say more than a thousand words: An implementation and evaluation of CDP plus plus in French
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In: ISSN: 0749-596X ; EISSN: 1096-0821 ; Journal of Memory and Language ; https://hal.archives-ouvertes.fr/hal-01432444 ; Journal of Memory and Language, Elsevier, 2014, 72, pp.98-115. ⟨10.1016/j.jml.2014.01.003⟩ (2014)
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CDP plus plus .Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01432442 ; PLoS ONE, Public Library of Science, 2014, 9 (4), ⟨10.1371/journal.pone.0094291⟩ (2014)
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CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.archives-ouvertes.fr/hal-01016354 ; PLoS ONE, Public Library of Science, 2014, 9 (4), pp.e94291. ⟨10.1371/journal.pone.0094291⟩ (2014)
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When silent letters say more than a thousand words: an implementation and evaluation of CDP plus plus in French
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In: Journal of Memory and Language, Vol. 72 (Apr 2014), pp. 98-115 (2014)
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CDP plus plus. Italian: modelling sublexical and supralexical inconsistency in a shallow orthography
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In: PL o S One, Vol. 9, no. 4 (Apr 2014), article no. e94291 (2014)
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Abstract:
Most models of reading aloud have been constructed to explain data in relatively complex orthographies like English and French. Here, we created an Italian version of the Connectionist Dual Process Model of Reading Aloud (CDP++) to examine the extent to which the model could predict data in a language which has relatively simple orthography-phonology relationships but is relatively complex at a suprasegmental (word stress) level. We show that the model exhibits good quantitative performance and accounts for key phenomena observed in naming studies, including some apparently contradictory findings. These effects include stress regularity and stress consistency, both of which have been especially important in studies of word recognition and reading aloud in Italian. Overall, the results of the model compare favourably to an alternative connectionist model that can learn non-linear spelling-to-sound mappings. This suggests that CDP++ is currently the leading computational model of reading aloud in Italian, and that its simple linear learning mechanism adequately captures the statistical regularities of the spelling-to-sound mapping both at the segmental and supra-segmental levels.
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URL: http://hdl.handle.net/1959.3/382550
https://doi.org/10.1371/journal.pone.0094291
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Modelling reading development through phonological decoding and self-teaching: Implications for dyslexia
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In: Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 369, no. 1634 (Dec 2014) (2014)
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CDP++.Italian: Modelling Sublexical and Supralexical Inconsistency in a Shallow Orthography
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