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Simplification of literary and scientific texts to improve reading fluency and comprehension in beginning readers of French
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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2
Using Virtual Reality to Assess Reading Fluency in Children
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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3
As time goes by: space-time compatibility effects in word recognition
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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4
The dynamics of reading complex words: evidence from steady-state visual evoked potentials
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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5
Online activation of L1 Danish orthography enhances spoken word recognition of Swedish
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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6
Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy
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)
Abstract: International audience ; The main objective of this longitudinal study was to investigate the neural predictors of reading acquisition. For this purpose, we followed a sample of 54 children from the end of kindergarten to the end of second grade. Preliterate children were tested for visual symbol (checkerboards, houses, faces, written words) and auditory language processing (spoken words) using a passive functional magnetic resonance imaging paradigm. To examine brain–behavior relationships, we also tested cognitive–linguistic prereading skills at kindergarten age and reading performance of 48 of the same children 2 years later. Face‐selective response in the bilateral fusiform gyrus was positively associated with rapid automatized naming (RAN). Response to both spoken and written words at preliterate age was negatively associated with RAN in the dorsal temporo‐parietal language system. Longitudinally, neural response to faces in the ventral stream predicted future reading fluency. Here, stronger neural activity in inferior and middle temporal gyri at kindergarten age was associated with higher reading performance. Our results suggest that interindividual differences in the neural system of language and reading affect literacy acquisition and thus might serve as a marker for successful reading acquisition in preliterate children.
Keyword: [SCCO.PSYC]Cognitive science/Psychology; [SHS.EDU]Humanities and Social Sciences/Education; child; fmri; longitudinal; reading
URL: https://doi.org/10.1002/hbm.25449
https://hal-amu.archives-ouvertes.fr/hal-03217489/file/2021_Liebig_HMB.pdf
https://hal-amu.archives-ouvertes.fr/hal-03217489
https://hal-amu.archives-ouvertes.fr/hal-03217489/document
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7
Neural processing of vision and language in kindergarten is associated with prereading skills and predicts future literacy ...
Liebig, Johanna; Froehlich, Eva; Sylvester, Teresa. - : Freie Universität Berlin, 2021
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8
Alector: A Parallel Corpus of Simplified French Texts with Alignments of Misreadings by Poor and Dyslexic Readers
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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9
Orthographic consistency influences morphological processing in reading aloud: Evidence from a cross‐linguistic study
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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10
Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
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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11
Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
In: Current Directions in Psychological Science, Vol. 29, no. 3 (Jun 2020), pp. 293-300 (2020)
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12
Learning to Read and Dyslexia: From Theory to Intervention Through Personalized Computational Models
In: Curr Dir Psychol Sci (2020)
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13
Orthographic consistency influences morphological processing in reading aloud: Evidence from a cross-linguistic study
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14
Frequency-tagged visual evoked responses track syllable effects in visual word recognition
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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15
Modeling the Variability of Developmental Dyslexia
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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18
Understanding dyslexia through personalized large-scale computational models
In: Psychological Science, Vol. 30, no. 3 (Feb 2019), pp. 386-395 (2019)
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19
Modeling the variability of developmental dyslexia
In: Developmental dyslexia across languages and writing systems / Ludo Verhoeven, Charles Perfetti and Kenneth Pugh (eds.), pp. 350-371 (2019)
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20
Understanding Dyslexia Through Personalized Large-Scale Computational Models
Perry, Conrad; Zorzi, Marco; Ziegler, Johannes C.. - : SAGE Publications, 2019
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