Reading fluency is one of the basic processes of learning to read. Children begin to develop fluency when they are able to form orthographic representations of words, which provide direct, smooth, and fast reading. Dyslexic children of transparent orthographic systems are mainly characterized by poor reading fluency (Cuetos & Suárez-Coalla 2009; Spinelli, De Luca, Di Filippo, Mancini, Martelli, & Zoccolotti, 2005; Wimmer, 1993). Therefore, the main problem for these children could be the difficulty in developing orthographic representations of the words they read. The aim of this study was to test the ability of dyslexic Spanish-speaking children (whose native language is Spanish) to develop orthographic representations and determine if the context helps them. For this, two experiments were conducted with a group of 100 children, 7-12 years of age. The groups were comprised of 20 dyslexics, 40 chronological age-matched controls and 40 reading level-matched controls. In the first experiment, eight unfamiliar words (four short and four long) were presented six times within the context of a story. In the second experiment, eight pseudowords were presented on a computer and the children had to read them aloud. In both experiments, the reading and articulation times of experimental and control stimuli were compared, before and after the training. Children without dyslexia showed a decrease of the influence of length of word on reading speed, indicating a lexical reading, while for dyslexic children, the influence of length remained unchanged. These results appeared when the stimuli were presented in the context of a story as well as when presented in isolation. In short, our results describe that dyslexic children of transparent orthographic systems have problems in developing orthographic representations of words.
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http://dx.doi.org/10.1007/s11881-014-0092-5 | DOI Listing |
J Cogn Neurosci
January 2025
Universidade de Lisboa, Lisbon, Portugal.
Behavioral research has shown that inconsistency in spelling-to-sound mappings slows visual word recognition and word naming. However, the time course of this effect remains underexplored. To address this, we asked skilled adult readers to perform a 1-back repetition detection task that did not explicitly involve phonological coding, in which we manipulated lexicality (high-frequency words vs.
View Article and Find Full Text PDFChildren (Basel)
November 2024
Univ. Lille, CNRS, UMR 9193-SCALab-Sciences Cognitives et Sciences Affectives, F-59000 Lille, France.
Background/objectives: The present study examines the role of morphemic units in the initial word recognition stage among beginning readers. We assess whether and to what extent sublexical units, such as morphemes, are used in processing French words and how their use varies with reading proficiency.
Methods: Two experiments were conducted to investigate the perceptual and morphological effects on the recognition of words presented in central vision, using a variable-viewing-position technique.
Psychon Bull Rev
December 2024
Laboratoire Cognition Langage & Développement (LCLD), Centre de Recherche Cognition et Neurosciences (CRCN), Université Libre de Bruxelles (ULB), Av. F. Roosevelt, 50 /CP 191, 1050, Brussels, Belgium.
Lexical competition between newly acquired and already established representations of written words is considered a marker of word integration into the mental lexicon. To date, studies about the emergence of lexical competition involved mostly artificial training procedures based on overexposure and explicit instructions for memorization. Yet, in real life, novel word encounters occur mostly without explicit learning intent, through reading texts with words appearing rarely.
View Article and Find Full Text PDFNeuroimage
December 2024
Department of Psychiatry and the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, USA; Department of Psychology, Tufts University, Medford, MA, 02155, USA. Electronic address:
During language comprehension, the larger neural response to unexpected versus expected inputs is often taken as evidence for predictive coding-a specific computational architecture and optimization algorithm proposed to approximate probabilistic inference in the brain. However, other predictive processing frameworks can also account for this effect, leaving the unique claims of predictive coding untested. In this study, we used MEG to examine both univariate and multivariate neural activity in response to expected and unexpected inputs during word-by-word reading comprehension.
View Article and Find Full Text PDFJ Psycholinguist Res
December 2024
Department of East Asian Languages and Literatures, University of Pittsburgh, Pittsburgh, PA, USA.
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