Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this…

This study investigated neural activation patterns during verb processing in children, using fMRI (functional Magnetic Resonance Imaging). Preschool children (aged 4-6) passively listened to lists of verbs and adjectives while neural activation was measured. Findings indicated that verbs were processed differently than adjectives, as the verbs…

Background: There is a noticeable publication gap in the speech-language pathology literature regarding the language abilities of children with common types of epilepsy. This paper reviews studies that suggest a high frequency of undetected language problems in this population, and it proposes the need for pragmatically based assessment of…