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Mohsen Dolatabadi – Australian Journal of Applied Linguistics, 2023
Many datasets resulting from participant ratings for word norms and also concreteness ratios are available. However, the concreteness information of infrequent words and non-words is rare. This work aims to propose a model for estimating the concreteness of infrequent and new lexicons. Here, we used Lancaster sensory-motor word norms to predict…
Descriptors: Prediction, Validity, Models, Computational Linguistics
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Laurie-Anne Sapey-Triomphe; Gaëtan Sanchez; Marie-Anne Hénaff; Sandrine Sonié; Christina Schmitz; Jérémie Mattout – npj Science of Learning, 2023
Predictive coding theories suggest that core symptoms in autism spectrum disorders (ASD) may stem from atypical mechanisms of perceptual inference (i.e., inferring the hidden causes of sensations). Specifically, there would be an imbalance in the precision or weight ascribed to sensory inputs relative to prior expectations. Using three tactile…
Descriptors: Autism Spectrum Disorders, Tactual Perception, Sensory Integration, Comparative Analysis