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Spatial Language Use Predicts Spatial Memory of Children: Evidence from Sign, Speech, and Speech-plus-gesture ...
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Application of machine learning to signal entrainment identifies predictive processing in sign language. ...
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Application of machine learning to signal entrainment identifies predictive processing in sign language. ...
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4
Language Proficiency Impacts the Benefits of Co-Speech Gesture for Narrative Understanding Through a Visual Attention Mechanism ...
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5
A common framework for quantifying the learnability of nouns and verbs ...
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6
The Role of Hand Gestures in Emotion Communication ...
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7
Towards a Cognitive Model of Collaborative Memory ...
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8
The Role of Hand Gestures in Emotion Communication ...
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9
Testing an interference-based model of working memory in children with developmental language disorder and their typically developing peers ...
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10
Variation in spatial concepts: Different frames of reference on different axes ...
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11
Verbal working memory capacity modulates category representation. ...
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12
Testing an interference-based model of working memory in children with developmental language disorder and their typically developing peers ...
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13
A metric of children’s inference-making difficulty during language comprehension ...
Abstract: Reading comprehension research has identified sources of children’s difficulty with inference-making: lack of semantic/content knowledge and logical reasoning difficulty. NLP tools modeling semantic knowledge (e.g. BERT) can predict adult inference-making, but it is unclear whether they can predict children’s inference-making difficulty. In our ongoing study, we will examine whether our new inference difficulty metric can predict kindergarten students’ inference-making, using empirical data from a classroom intervention (ELCII). Students were given verbal information on a topic and multiple-choice questions, which require students to draw an inference from two given scaffolds. To develop this metric, we will train BERT on children’s books and ELCII content to compute an additive inference vector, the sum of the two vectorized scaffolds. The cosine distance between the additive and correct inferences may indicate inference difficulty. Results will indicate whether a probabilistic semantic space can model ...
Keyword: Applied Developmental Psychology; Cognitive Linguistics; Cognitive Science; Developmental Psychology; Didactics; Psycholinguistics
URL: https://underline.io/lecture/26927-a-metric-of-childrens-inference-making-difficulty-during-language-comprehension
https://dx.doi.org/10.48448/bm6s-7t81
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14
Verbal working memory capacity modulates category representation. ...
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15
Keep Calm and Move On: Interplay between Morphological Cue Occurrence and Frequency-based Heuristics for Sentence Comprehension in Korean ...
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Keep Calm and Move On: Interplay between Morphological Cue Occurrence and Frequency-based Heuristics for Sentence Comprehension in Korean ...
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17
Word Probability Re-Estimation Using Topic Modeling and Lexical Decision Data ...
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18
Memory Constraints on Cross Situational Word Learning ...
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Memory Constraints on Cross Situational Word Learning ...
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20
Do gestures really facilitate speech production? ...
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