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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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Abstract:
When language users predict upcoming speech, they generate pluralistic expectations, weighted by likelihood (Kuperberg & Jaeger, 2016). Many variables influence the prediction of highly-likely sentential outcomes, but less is known regarding variables affecting the prediction of less-likely outcomes. Here we explore how English vocabulary size and self-identification as a Native Speaker (NS) of English modulate adult bi-/multilinguals’ pre-activation of less-likely sentential outcomes in two visual-world experiments. Participants heard transitive sentences containing an agent, action and theme (The pirate chases the ship) while viewing four referents varying in expectancy by relation to the agent and action. In experiment 1 (N=70), spoken themes referred to highly-expected items (e.g., ship). Results indicate lower-skill (smaller vocabulary size) and less confident (not identifying as NS) bi-/multilinguals activate less-likely action-related referents more than their higher-skill/confidence peers. In experiment 2 (N=65), themes were one of two less-likely items (The pirate chases the bone/cat). Results approaching significance indicate an opposite but similar size effect: higher-skill/confidence listeners activate less-likely action-related (e.g., bone) referents slightly more than lower-skill/confidence listeners. Results across experiments suggest higher-skill/confidence participants more flexibly modulate their linguistic predictions per the demands of the task, with similar but not identical patterns emerging when bi-/multilinguals are grouped by self-ascribed NS-status versus vocabulary size.
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519480/ https://doi.org/10.1017/S0142716418000383
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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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