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1
Spatial Language Use Predicts Spatial Memory of Children: Evidence from Sign, Speech, and Speech-plus-gesture ...
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2
Application of machine learning to signal entrainment identifies predictive processing in sign language. ...
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3
Application of machine learning to signal entrainment identifies predictive processing in sign language. ...
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4
What interventions can decrease or increase belief polarisation in a population of rational agents? ...
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5
Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis ...
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6
Causal Learning With Delays Up to 21 Hours ...
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7
Impact of Performing A Secondary Task on Recall ...
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8
Associative learning of new word forms in a first language and gustatory stimuli ...
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9
The Mystery of Early Taxonomic Development ...
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10
Are Explicit Frequency Counters Necessary in Computational Models of Early Word Segmentation? ...
Abstract: Frequency counters are computational mechanisms that track the frequency or probability of speech units. Such counters are idealizations which re-describe frequency effects in early word segmentation, not providing an underlying learning mechanism from which these effects arise. Previous work has shown that Implicit Chunking represents a plausible learning mechanism explaining infants’ sensitivity to statistical cues when segmenting small-scale artificial languages (French et al., 2011). However, no work has examined whether Implicit Chunking allows to segment naturalistic speech in a developmentally plausible way. Here, we show how a novel symbolic model of Implicit Chunking – CLASSIC-Utterance-Boundary - performs better or as well as previous frequency-based models (i.e., transitional probability, chunking) at predicting children’s word age of first production and a range of word-level characteristics of children’s vocabularies (word frequency, word length, neighborhood density, phonotactic probability). ...
Keyword: Applied Developmental Psychology; Cognitive Linguistics; Cognitive Science; Computational Linguistics; Developmental Psychology
URL: https://dx.doi.org/10.48448/rh5j-d407
https://underline.io/lecture/26622-are-explicit-frequency-counters-necessary-in-computational-models-of-early-word-segmentationquestion
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11
Associative learning of new word forms in a first language and haptic features in a single-day experiment ...
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12
Identifying local cognitive representations in the brain across age spans through voxel searchlights and representational similarity analysis ...
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13
The Mystery of Early Taxonomic Development ...
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14
Visuospatial Skills and the Workforce: A Brief Review ...
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15
Can Children use Numerical Reasoning to Compare Odds in Games? ...
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16
Visuospatial Skills and the Workforce: A Brief Review ...
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17
Experience with Equations in Sequence Promotes Procedural Fluency ...
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18
Knowledge transfer for tool use in the Goffin's cockatoo ...
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19
Providing explanations shifts preschoolers’ metaphor preferences ...
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20
Impact of Performing A Secondary Task on Recall ...
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