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Universal Restrictions in Reading: What Do French Beginning Readers (Mis)perceive?
Norbert Maïonchi-Pino1, Audrey Carmona2, Méghane Tossonian1
1Laboratoire de Psychologie Sociale et Cognitive (LAPSCO), CNRS UMR 6024, Université Clermont Auvergne, Clermont-Ferrand, France.
Children
Area of Science:
- Psycholinguistics
- Developmental Psychology
- Phonology
Background:
- Statistical properties are traditionally considered crucial for children's visual identification and syllable segmentation.
- Recent research suggests children may not solely rely on statistical information for locating syllable boundaries.
- Phonological sonority, a universal linguistic feature, is proposed as a potential reliable cue for syllable segmentation.
Purpose of the Study:
- To investigate children's sensitivity to the universal phonological sonority-based markedness continuum for syllable segmentation.
- To examine how this sensitivity evolves with reading acquisition in typically developing children.
- To determine if phonological sonority influences syllable segmentation independently of statistical information.
Main Methods:
- A longitudinal study using the illusory conjunction (IC) paradigm with 48 French typically developing children.
- Children were tested at three time points over one year.
- Participants included "good" and "poor" readers, with chronological ages around 81 months at baseline.
Main Results:
- Syllable segmentation abilities were confirmed to develop with reading experience and proficiency.
- A significant Condition × Sonority interaction demonstrated that phonological sonority modulates syllable segmentation.
- This sensitivity to sonority for syllable segmentation is present early and is independent of reading level and statistical cues.
Conclusions:
- Children's syllable segmentation is influenced by phonological sonority, particularly at syllable boundaries.
- This sensitivity emerges early and is not dependent on reading level, suggesting a fundamental phonological processing mechanism.
- Phonological sonority plays a role in syllable segmentation even with minimal statistical information, challenging purely statistical models.
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