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Shin, Gyu-Ho; Mun, Seongmin – Developmental Science, 2023
This study investigates how neural networks address the properties of children's linguistic knowledge, with a focus on the "Agent-First" strategy in comprehension of an active transitive construction in Korean. We develop various neural-network models and measure their classification performance on the test stimuli used in a behavioural…
Descriptors: Brain, Child Language, Korean, Comprehension

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