ArticleBehavior research methods2023
Child-oriented word associations improve models of early word learning.
Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Theoretical and Methodological Insights From Five Transcribed and Annotated Daylong Audio Recordings of Young Children's Language Environments.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Article
- Article
- Free Association Database for a 62-Word Dataset Including Emotion and Colour Terms in English, Estonian, French, German, Italian, Lithuanian, and Spanish: Data from 14 Countries.Journal of open psychology data · 2025Article
- A large-scale database of Mandarin Chinese word associations from the Small World of Words Project.Behavior research methods · 2024Article
- Feats: A database of semantic features for early produced noun concepts.Behavior research methods · 2024Article
- Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists.Wiley interdisciplinary reviews. Cognitive scienceReview
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Abstract
How words are associated within the linguistic environment conveys semantic content; however, different contexts induce different linguistic patterns. For instance, it is well known that adults speak differently to children than to other adults. We present results from a new word association study in which adult participants were instructed to produce either unconstrained or child-oriented responses to each cue, where cues included 672 nouns, verbs, adjectives, and other word forms from the McArthur-Bates Communicative Development Inventory (CDI; Fenson et al., 2006). Child-oriented responses consisted of higher frequency words with fewer letters, earlier ages of acquisition, and higher contextual diversity. Furthermore, the correlations among the responses generated for each pair of cues differed between unconstrained (adult-oriented) and child-oriented responses, suggesting that child-oriented associations imply different semantic structure. A comparison of growth models guided by a semantic network structure revealed that child-oriented associations are more predictive of early lexical growth. Additionally, relative to a growth model based on a corpus of naturalistic child-directed speech, the child-oriented associations explain added unique variance to lexical growth. Thus, these new child-oriented word association norms provide novel insight into the semantic context of young children and early lexical development.
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