2023
DOI: 10.1111/desc.13405
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Explainability of neural networks for child language: Agent‐First strategy in comprehension of Korean active transitive construction

Abstract: 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 experiment involving scrambling and omission of sentential components at varying degrees. Results show that, despite some compatibility of these models’ performance with the chil… Show more

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Cited by 3 publications
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