Mapping the Early Language Environment Using All-Day Recordings and Automated Analysis.
By Jill Gilkerson, Jeffrey A. Richards, S. Warren, J. Montgomery, C. Greenwood, D. Kimbrough Oller, John H. L. Hansen, T. Paul. American Journal of Speech-Language Pathology, 2017
391 citations recorded by the source corpus.
Subfields: Developmental and Educational Psychology, Pediatrics, Perinatology and Child Health, Pharmacy
View Paper: https://www.semanticscholar.org/paper/046fb2f613dc9e1ba4325557b3274e58df6af551
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In Developmental and Educational Psychology
In Pediatrics, Perinatology and Child Health
Citations in the corpus
- How Classroom Conversations Unfold: Exploring Teacher–Child Exchanges During Shared Book Reading (2019, neutral): “Although the sample was small and relatively homogenous, which brings the specific 30 million figure into question, subsequent work has reinforced the general finding of a large disparity in word knowledge (Gilkerson et al., 2017).”
- Beyond the “30 Million Word Gap:” Children’s Conversational Exposure is Associated with Language-Related Brain Function (2018, methodology): “LENA speech-identification algorithms have been determined to be highly reliable, yielding measures approximately 82% accurate for adult speech and 76% accurate for the speech of infants and young children up to 3 years old (Gilkerson et al., 2017; Zimmerman et al., 2009).”