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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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Perceptual Connectivity Influences Toddlers’ Attention to Known Objects and Subsequent Label Processing
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In: Brain Sci (2021)
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Moving towards accurate and early prediction of language delay with network science and machine learning approaches
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In: Sci Rep (2021)
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Lexical recognition in deaf children learning ASL: activation of semantic and phonological features of signs
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ISSN: 2515-2459 ; EISSN: 2515-2467 ; Advances in Methods and Practices in Psychological Science ; https://hal-univ-rennes1.archives-ouvertes.fr/hal-02509817 ; Advances in Methods and Practices in Psychological Science, [Thousand Oaks]: [SAGE Publications], 2020, 3 (1), pp.24-52. ⟨10.1177/2515245919900809⟩ (2020)
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Quantifying Sources of Variability in Infancy Research Using the Infant-Directed-Speech Preference
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In: ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE, vol 3, iss 1 (2020)
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When slowing down processing helps learning: Lexico-semantic structure supports retention but interferes with disambiguation of novel object-label mappings
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In: Dev Sci (2020)
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Lexical Recognition in Deaf Children Learning American Sign Language: Activation of Semantic and Phonological Features of Signs
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In: Lang Learn (2020)
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Quantifying sources of variability in infancy research using the infant-directed-speech preference
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Dataset for Vocabulary size and structure affects real-time lexico-semantic recognition in 18-month-olds ...
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Developmental Timescale of Rapid Adaptation to Conflicting Cues in Real-Time Sentence Processing
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Modeling Early Lexico-Semantic Network Development: Perceptual Features Matter Most
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Vocabulary size and structure affects real-time lexical recognition in 18-month-olds
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Abstract:
The mature lexicon encodes semantic relations between words, and these connections can alternately facilitate and interfere with language processing. We explore the emergence of these processing dynamics in 18-month-olds (N = 79) using a novel approach that calculates individualized semantic structure at multiple granularities in participants’ productive vocabularies. Participants completed two interleaved eye-tracked word recognition tasks involving semantically unrelated and related picture contexts, which sought to measure the impact of lexical facilitation and interference on processing, respectively. Semantic structure and vocabulary size differentially impacted processing in each task. Category level structure facilitated word recognition in 18-month-olds with smaller productive vocabularies, while overall lexical connectivity interfered with word recognition for toddlers with relatively larger vocabularies. The results suggest that, while semantic structure at multiple granularities is measurable even in small lexicons, mechanisms of semantic interference and facilitation are driven by the development of structure at different granularities. We consider these findings in light of accounts of adult word recognition that posits that different levels of structure index strong and weak activation from nearby and distant semantic neighbors. We also consider further directions for developmental change in these patterns.
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Research Article
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URL: http://www.ncbi.nlm.nih.gov/pubmed/31295282 https://doi.org/10.1371/journal.pone.0219290 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6622498/
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Vocabulary size and Native Speaker self-identification influence flexibility in linguistic prediction among adult bilinguals
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Prediction in a visual language: real-time sentence processing in American Sign Language across development
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Prediction in a visual language: real-time sentence processing in American Sign Language across development ...
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Prediction in a visual language: real-time sentence processing in American Sign Language across development ...
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Prediction in a visual language: real-time sentence processing in American Sign Language across development
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Lexical leverage: category knowledge boosts real-time novel word recognition in 2-year-olds.
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In: Developmental science, vol 19, iss 6 (2016)
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