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1
Neural correlates and subjective assessments of multimodal training on perception of foreign language prosody ...
Kelly, Spencer. - : Open Science Framework, 2022
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2
Leibniz Dream: Children's comprehension of conjunctive expressions in Hungarian ...
Bill, Cory. - : Open Science Framework, 2022
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3
Potential of automatic speech processing technologies for early detection of oral language disorders: a meta-analytic review ...
Bonnet, Camille. - : Open Science Framework, 2022
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4
Leibniz Dream: Children's comprehension of conjunctive expressions in Georgian. ...
Bill, Cory. - : Open Science Framework, 2022
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5
Relationship between referential clarity and auditory clarity in parents’ object naming ...
Beech, Caroline. - : Open Science Framework, 2022
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6
Two-year-olds' eye movements reflect confidence in their understanding of words ...
Dautriche, Isabelle. - : Open Science Framework, 2022
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7
Identifying preschool measures most predictive of language outcomes at 11 years in the Early Language in Victoria Study ...
Gasparini, Loretta. - : Open Science Framework, 2022
Abstract: Language provides a foundation for quality of life and development, but language difficulties, affecting 10% of children, are generally only identified late in childhood. This study aims to identify a parsimonious set of preschool indicators that predict language outcomes, using data from the Early Language in Victoria Study (n=851). Between 8 months and 3 years, parents completed surveys relating to their child and at 11 years the children completed a standardised language assessment. This study uses random forests and SuperLearner machine learning methods to identify which parent-reported questions best predict children’s language skills at 11 years. We hypothesise that gestures, vocabulary, morphosyntax, family history of Language Disorder, socioeconomic status and parent-child interactions predict language outcomes. A short, accurate set of predictors of language outcomes would allow targeted recruitment of participants at risk of persisting language difficulties into intervention studies and could be ...
Keyword: Communication Sciences and Disorders; First and Second Language Acquisition; FOS Languages and literature; language development; language disorders; Linguistics; longitudinal studies; machine learning; Medicine and Health Sciences; predictive value of tests; random forests; Social and Behavioral Sciences; SuperLearner
URL: https://osf.io/nqht7/
https://dx.doi.org/10.17605/osf.io/nqht7
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8
EIRLI + BCP Latent Class Analysis ...
Day, Trevor. - : Open Science Framework, 2022
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9
How children and adults describe events and their causes ...
Salfner, Fabienne. - : Open Science Framework, 2022
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10
Agreement ...
Tal, Shira. - : Open Science Framework, 2022
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11
Agreement ...
Tal, Shira. - : Open Science Framework, 2022
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12
Agreement - unpacking the benefit of a redundant morpheme ...
Tal, Shira. - : Open Science Framework, 2022
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13
Do bilinguals have language-specific sound categories? ...
Kremin, Lena. - : Open Science Framework, 2022
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14
Encoding Interference in Cleft Constructions ...
Cunnings, Ian. - : Open Science Framework, 2022
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15
Homophone acquisition across semantic categories based on limited exposure ...
Gomes, Victor. - : Open Science Framework, 2022
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16
SemPhonD ...
Campbell, Erin. - : Open Science Framework, 2022
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17
Viewing angle in novice L2 lexical learning in British Sign Language (BSL) ...
Watkins, Freya. - : Open Science Framework, 2022
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18
Prior Knowledge and Phonotactic Learning: Button-Pressing Task ...
Mirea, Nicole. - : Open Science Framework, 2022
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19
Children’s understanding of presupposition projection in conditionals ...
Chen, Sherry Yong. - : Open Science Framework, 2022
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20
Attention-Language Interface in Multilingual Assessment Instrument for Narratives (MAIN) ...
Sekerina, Irina. - : Open Science Framework, 2022
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