Child-directed speech facilitates production, not comprehension, in BabyLMs
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Abstract (arXiv)
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.
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References · 28
- 2019The Curious Case of Neural Text Degenerationcited by 2,916
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- 2025How Do LLMs Use Their Depth?cited by 16
16 more
- 2023Evaluating Neural Language Models as Cognitive Models of Language Acquisitioncited by 15
- 2025Do Construction Distributions Shape Formal Language Learning In German BabyLMs?cited by 11
- 2025Dialogue Is Not Enough to Make a Communicative BabyLM (But Neither Is Developmentally Inspired Reinforcement Learning)cited by 11
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- 2024A systematic investigation of learnability from single child linguistic inputcited by 8
- 2024Emergent Abilities in Reduced-Scale Generative Language Modelscited by 7
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- 2025Constructions are Revealed in Word Distributionscited by 6
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- 2024What Should Baby Models Read? Exploring Sample-Efficient Data Composition on Model Performancecited by 4
- 2025A Distributional Perspective on Word Learning in Neural Language Modelscited by 4
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