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Unger, Layla; Yim, Hyungwook; Savic, Olivera; Dennis, Simon; Sloutsky, Vladimir M. – Developmental Science, 2023
Recent years have seen a flourishing of Natural Language Processing models that can mimic many aspects of human language fluency. These models harness a simple, decades-old idea: It is possible to learn a lot about word meanings just from exposure to language, because words similar in meaning are used in language in similar ways. The successes of…
Descriptors: Natural Language Processing, Language Usage, Vocabulary Development, Linguistic Input
Masek, Lillian R.; Patterson, Sarah J.; Golinkoff, Roberta Michnick; Bakeman, Roger; Adamson, Lauren B.; Owen, Margaret Tresch; Pace, Amy; Hirsh-Pasek, Kathy – Grantee Submission, 2020
Infants from low-socioeconomic status (SES) households hear a projected 30 million fewer words than their higher-SES peers. In a recent study, Hirsh-Pasek et al. (Psychological Science, 2015; 26: 1071) found that in a low-income sample, fluency and connectedness in exchanges between caregivers and toddlers predicted child language a year later…
Descriptors: Socioeconomic Status, Social Differences, Child Language, Language Acquisition