arXiv — NLP / Computation & Language · · 3 min read

Child-directed speech facilitates production, not comprehension, in BabyLMs

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Computer Science > Computation and Language

arXiv:2606.01045 (cs)
[Submitted on 31 May 2026]

Title:Child-directed speech facilitates production, not comprehension, in BabyLMs

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Abstract:Recent studies suggest that child-directed speech is not conducive to language learning in BabyLMs. However, current evaluations focus predominantly on comprehension and not production, which is central to usage-based theories of language acquisition which argue how CDS facilitates early language use through constructional ''frames'' (frequent lexical patterns with open slots). We introduce a novel generation-based evaluation inspired by such theories in form of a frame-completion task, and compare Llama models trained with CDS, the BabyLM corpus, and web-crawl data (FineWeb-edu) on comprehension benchmarks and our novel framework. Our results reveal a clear dissociation between models' comprehension and production capabilities: while FineWeb-trained models excel at minimal pairs, CDS-trained models produce grammatical completions substantially earlier in training and concentrate probability mass on appropriate slot-fillers. These findings show that comprehension benchmarks underestimate what CDS affords to BabyLMs.
Comments: Accepted at CoNLL 2026
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2606.01045 [cs.CL]
  (or arXiv:2606.01045v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.01045
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Bastian Bunzeck [view email]
[v1] Sun, 31 May 2026 06:27:58 UTC (583 KB)
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