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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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Abstract:
Children and adults use established global knowledge to generate real-time linguistic predictions, but less is known about how listeners generate predictions in circumstances that semantically conflict with long-standing event knowledge. We explore these issues in adults and 5- to10-year-old children using an eye-tracked sentence comprehension task that tests real-time activation of unexpected events that had been previously encountered in brief stories. Adults generated predictions for these previously unexpected events based on these discourse cues alone, whereas children overall did not override their established global knowledge to generate expectations for semantically conflicting material; however, they do show an increased ability to integrate discourse cues to generate appropriate predictions for sentential endings. These results indicate that the ability to rapidly integrate and deploy semantically conflicting knowledge has a long developmental trajectory, with adult-like patterns not emerging until later in childhood.
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422531/ http://www.ncbi.nlm.nih.gov/pubmed/30648800 https://doi.org/10.1111/cogs.12704
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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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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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