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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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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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Abstract:
Prediction during sign language comprehension may enable signers to integrate linguistic and non-linguistic information within the visual modality. In two eyetracking experiments, we investigated American Sign language (ASL) semantic prediction in deaf adults and children (aged 4–8 years). Participants viewed ASL sentences in a visual world paradigm in which the sentence-initial verb was either neutral or constrained relative to the sentence-final target noun. Adults and children made anticipatory looks to the target picture before the onset of the target noun in the constrained condition only, showing evidence for semantic prediction. Crucially, signers alternated gaze between the stimulus sign and the target picture only when the sentential object could be predicted from the verb. Signers therefore engage in prediction by optimizing visual attention between divided linguistic and referential signals. These patterns suggest that prediction is a modality-independent process, and theoretical implications are discussed.
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URL: https://doi.org/10.1080/23273798.2017.1411961 http://www.ncbi.nlm.nih.gov/pubmed/29687014 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5909983/
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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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