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Vocal development in a large‐scale crosslinguistic corpus
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-03498978 ; Developmental Science, Wiley, 2021, 24 (5), ⟨10.1111/desc.13090⟩ (2021)
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Analyzing contingent interactions in R with `chattr`
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In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
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Developing a Cross-Cultural Annotation System and MetaCorpus for Studying Infants’ Real World Language Experience
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English-Speaking Adults' Labeling of Child- and Adult-Directed Speech Across Languages and Its Relationship to Perception of Affect
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In: Front Psychol (2021)
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What Do North American Babies Hear? A large-scale cross-corpus analysis.
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ALICE: An open-source tool for automatic measurement of phoneme, syllable, and word counts from child-centered daylong recordings
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In: Behav Res Methods (2020)
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BabbleCor: A Crosslinguistic Corpus of Babble Development in Five Languages ...
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What Do North American Babies Hear? A large-scale cross-corpus analysis
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Abstract:
A range of demographic variables influence how much speech young children hear. However, because studies have used vastly different sampling methods, quantitative comparison of interlocking demographic effects has been nearly impossible, across or within studies. We harnessed a unique collection of existing naturalistic, day-long recordings from 61 homes across four North American cities to examine language input as a function of age, gender, and maternal education. We analyzed adult speech heard by 3- to 20-month-olds who wore audio recorders for an entire day. We annotated speaker gender and speech register (child-directed or adult-directed) for 10,861 utterances from female and male adults in these recordings. Examining age, gender, and maternal education collectively in this ecologically-valid dataset, we find several key results. First, the speaker gender imbalance in the input is striking: children heard 2–3× more speech from females than males. Second, children in higher-maternal-education homes heard more child-directed speech than those in lower-maternal education homes. Finally, our analyses revealed a previously unreported effect: the proportion of child-directed speech in the input increases with age, due to a decrease in adult-directed speech with age. This large-scale analysis is an important step forward in collectively examining demographic variables that influence early development, made possible by pooled, comparable, day-long recordings of children’s language environments. The audio recordings, annotations, and annotation software are readily available for re-use and re-analysis by other researchers.
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Article
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URL: https://doi.org/10.1111/desc.12724 http://www.ncbi.nlm.nih.gov/pubmed/30369005 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6294666/
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