Limits on the Agent-First Strategy: Evidence from Children's Comprehension of a Transitive Construction in Korean

It has long been believed across languages that the Agent-First strategy, a comprehension heuristic that maps the first noun onto the agent role, is a general cognitive bias which applies automatically and faithfully to children's comprehension. The present study asks how this strategy interplays with such grammatical cues as the number of overt arguments and the presence of case-marking in Korean, an SOV language with case-marking by dedicated markers. To investigate whether and how these cues affect the operation of this strategy, we measure children's comprehension of a transitive construction (with scrambling and omission of sentential components) in a novel experimental setting where arguments and case markers were obscured to varying degrees through acoustic masking. We find that children do not demonstrate the agent-first interpretation strongly in the noun–verb pattern without case-marking, showing their uncertainty about the thematic role of the nominal when it is both the only argument in the sentence and lacks case-marking. They perform significantly better in the patterns with additional cues, the impact of which is asymmetric by age and by the nature of alignment between cues from word order and case-marking. These findings suggest that, for Korean-speaking children's comprehension of a transitive construction, the Agent-First strategy is activated properly only in conjunction with other types of interpretive cues.     

Effects of Long-Term Language Use Experience in Sentence Processing: Evidence from Korean

Journal of Psycholinguistic Research - Attraction effects arise when a comprehender erroneously retrieves a distractor instead of a target item during memory retrieval operations. In Korean,...     

Explainability of neural networks for child language: Agent-First strategy in comprehension of Korean active transitive construction

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 children's response patterns, their performance does not fully approximate the children's utilisation of this strategy, demonstrating by-model and by-condition asymmetries. This study's findings suggest that neural networks can utilise information about formal co-occurrences to access the intended message to a certain degree, but the outcome of this process may be substantially different from how a child (as a developing processor) engages in comprehension. This implies some limits of neural networks on revealing the developmental trajectories of child language.

Research Highlights

• This study investigates how neural networks address properties of child language.
• We focus on the Agent-First strategy in comprehension of Korean active transitive.
• Results show by-model/condition asymmetries against children's response patterns.
• This implies some limits of neural networks on revealing properties of child language.