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• W2000977437 abstract "Previous studies on early language acquisition have shown that word meanings can be acquired by an associative procedure that maps perceptual experience onto linguistic labels based on cross-situational observation. Recently, a social-pragmatic account focuses on the effect of the child's social-cognitive capacities, such as joint attention and intention reading. This paper argues that statistical and social cues can be seamlessly integrated to facilitate early word learning. To support this idea, we first introduce a statistical learning mechanism that provides a formal account of cross-situational observation. A unified model is then presented that is able to make use of different kinds of embodied social cues, such as joint attention and prosody in maternal speech, in the statistical learning framework. In a computational analysis of infant data, our unified model performs significantly better than the purely statistical approach in computing word–meaning associations." @default.
• W2000977437 created "2016-06-24" @default.
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• W2000977437 date "2007-08-01" @default.
• W2000977437 modified "2023-10-04" @default.
• W2000977437 title "A unified model of early word learning: Integrating statistical and social cues" @default.
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• W2000977437 doi "https://doi.org/10.1016/j.neucom.2006.01.034" @default.
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