Papers by Sanghoun Song

1 papers
Do BabyLMs Wanna Learn Wanna Contraction? On the Learnability without Language-Specific Bias (2026.findings-acl)

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Challenge: grammatical constraints on wanna contraction can be learned by artificial learners under cognitively plausible learning conditions.
Approach: They evaluate 24 BabyLMs from 2024 BabyLM Challenge and four standard models . they find that only encoder-based BabyLM models can capture wanna contraction .
Outcome: The proposed models show modest but meaningful sensitivity on large datasets and high-frequency wanna instances.

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