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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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Abstract:
International audience ; The present study investigated whether morphological processing in reading is influenced by the orthographic consistency of a language or its morphological complexity. Developing readers in Grade 3 and skilled adult readers participated in a reading aloud task in four alphabetic orthographies (English, French, German, Italian), which differ in terms of both orthographic consistency and morphological complexity. English is the least consistent, in terms of its spelling‐to‐sound relationships, as well as the most morphologically sparse, compared to the other three. Two opposing hypotheses were formulated. If orthographic consistency modulated the use of morphology in reading, readers of English should show more robust morphological processing than readers of the other three languages, because morphological units increase the reliability of spelling‐to‐sound mappings in the English language. In contrast, if the use of morphology in reading depended on the morphological complexity of a language, readers of French, German, and Italian should process morphological units in printed letter strings more efficiently than readers of English. Both developing and skilled readers of English showed greater morphological processing than readers of the other three languages. These results support the idea that the orthographic consistency of a language, rather than its morphological complexity, influences the extent to which morphology is used during reading. We explain our findings within the remit of extant theories of reading acquisition and outline their theoretical and educational implications
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Keyword:
[SCCO.PSYC]Cognitive science/Psychology; [SHS.EDU]Humanities and Social Sciences/Education; cross‐linguistic; morphology; orthographic consistency; reading acquisition
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URL: https://hal-amu.archives-ouvertes.fr/hal-02507581 https://hal-amu.archives-ouvertes.fr/hal-02507581/document https://hal-amu.archives-ouvertes.fr/hal-02507581/file/MousikouetAl_DevSc_2020.pdf https://doi.org/10.1111/desc.12952
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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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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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