Explainability of neural networks for child language: Agent-First strategy in comprehension of Korean active transitive construction.
Shin Gyu-Ho, Mun Seongmin·Developmental science
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…