Korean-speaking children's constructional knowledge about a transitive event: Corpus analysis and Bayesian modelling

Area of Science:

• Linguistics
• Developmental Psychology
• Computational Linguistics

Background:

• Children's acquisition of grammatical constructions is influenced by caregiver input.
• Korean, an understudied language in constructional knowledge research, presents unique linguistic features.
• Usage-based approaches emphasize the role of input frequency in language development.

Purpose of the Study:

• To investigate how Korean-speaking children acquire clause-level constructions for transitive events.
• To analyze the relationship between caregiver input patterns and children's production of active transitive and suffixal passive constructions.
• To model the developmental trajectory of constructional knowledge using Bayesian learning.

Main Methods:

• Corpus analysis of Korean caregiver input and child production data from CHILDES.
• Bayesian modeling of a learner using construction-based input, excluding lexical information.
• Statistical analysis of constructional pattern frequencies and case-marking usage.

Main Results:

• Children's production rates of constructional patterns closely mirrored caregiver input.
• Caregiver case-marking usage showed a tendency towards single form-function pairings.
• The Bayesian simulation demonstrated the dominance of frequent input patterns and their inhibitory effect on less frequent ones.

Conclusions:

• Input properties, particularly frequency, play a crucial role in shaping children's clause-level constructional knowledge in Korean.
• Domain-general learning capacities, combined with input characteristics, drive language acquisition.
• Findings support the usage-based constructionist approach to language development in Korean.