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Simplification of literary and scientific texts to improve reading fluency and comprehension in beginning readers of French
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In: ISSN: 0142-7164 ; EISSN: 1469-1817 ; Applied Psycholinguistics ; https://hal-amu.archives-ouvertes.fr/hal-03549026 ; Applied Psycholinguistics, Cambridge University Press (CUP), 2022, pp.1-28. ⟨10.1017/S014271642100062X⟩ (2022)
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Using Virtual Reality to Assess Reading Fluency in Children
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In: ISSN: 2504-284X ; Frontiers in Education ; https://hal-amu.archives-ouvertes.fr/hal-03257346 ; Frontiers in Education , Frontiers, 2021, 6, ⟨10.3389/feduc.2021.693355⟩ (2021)
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As time goes by: space-time compatibility effects in word recognition
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In: ISSN: 0278-7393 ; EISSN: 1939-1285 ; Journal of Experimental Psychology: Learning, Memory, and Cognition ; https://hal-amu.archives-ouvertes.fr/hal-03193618 ; Journal of Experimental Psychology: Learning, Memory, and Cognition, American Psychological Association, 2021, ⟨10.1037/xlm0001007⟩ (2021)
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The dynamics of reading complex words: evidence from steady-state visual evoked potentials
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal-amu.archives-ouvertes.fr/hal-03320167 ; Scientific Reports, Nature Publishing Group, 2021, 11 (1), ⟨10.1038/s41598-021-95292-0⟩ (2021)
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Online activation of L1 Danish orthography enhances spoken word recognition of Swedish
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In: ISSN: 0332-5865 ; Nordic Journal of Linguistics ; https://hal-amu.archives-ouvertes.fr/hal-03283527 ; Nordic Journal of Linguistics, 2021, pp.1-19. ⟨10.1017/S0332586521000056⟩ (2021)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy
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In: ISSN: 1065-9471 ; EISSN: 1097-0193 ; Human Brain Mapping ; https://hal-amu.archives-ouvertes.fr/hal-03217489 ; Human Brain Mapping, Wiley, 2021, ⟨10.1002/hbm.25449⟩ (2021)
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Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy ...
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Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers
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In: Language Resources and Evaluation for Language Technologies (LREC) ; https://hal.archives-ouvertes.fr/hal-02503986 ; Language Resources and Evaluation for Language Technologies (LREC), May 2020, Marseille, France (2020)
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Orthographic consistency influences morphological processing in reading aloud: Evidence from a cross‐linguistic study
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal-amu.archives-ouvertes.fr/hal-02507581 ; Developmental Science, Wiley, 2020, ⟨10.1111/desc.12952⟩ (2020)
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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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Orthographic consistency influences morphological processing in reading aloud: Evidence from a cross-linguistic study
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Frequency-tagged visual evoked responses track syllable effects in visual word recognition
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In: ISSN: 0010-9452 ; Cortex ; https://hal-amu.archives-ouvertes.fr/hal-02281144 ; Cortex, Elsevier, 2019, 121, pp.60-77. ⟨10.1016/j.cortex.2019.08.014⟩ (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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Abstract:
Learning to read is foundational for literacy development, yet many children in primary school fail to become efficient readers despite normal intelligence and schooling. This condition, referred to as developmental dyslexia, has been hypothesized to occur because of deficits in vision, attention, auditory and temporal processes, and phonology and language. Here, we used a developmentally plausible computational model of reading acquisition to investigate how the core deficits of dyslexia determined individual learning outcomes for 622 children (388 with dyslexia). We found that individual learning trajectories could be simulated on the basis of three component skills related to orthography, phonology, and vocabulary. In contrast, single-deficit models captured the means but not the distribution of reading scores, and a model with noise added to all representations could not even capture the means. These results show that heterogeneity and individual differences in dyslexia profiles can be simulated only ...
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Keyword:
110319 Psychiatry incl. Psychotherapy; 110904 Neurology and Neuromuscular Diseases; 170199 Psychology not elsewhere classified; FOS Clinical medicine; FOS Psychology; Neuroscience
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URL: https://dx.doi.org/10.25384/sage.c.4402346 https://sage.figshare.com/collections/Understanding_Dyslexia_Through_Personalized_Large-Scale_Computational_Models/4402346
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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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