Word learning mechanisms

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Word learning mechanisms.

How do children acquire the meanings of words? Many word learning mechanisms have been proposed to guide learners through this challenging task. Despite the availability of rich information in the learner's linguistic and extralinguistic input, the word-learning task is insurmountable without such mechanisms for filtering through and utilizing that information. Different kinds of words, such as...

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Cross-situational learning is a mechanism for learning the meaning of words across multiple exposures, despite exposure-by-exposure uncertainty as to the word’s true meaning. We present experimental evidence showing that humans learn words effectively using cross-situational learning, even at high levels of referential uncertainty. Both overall success rates and the time taken to learn words ar...

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In recent years, Bayesian models have become increasingly popular as a way of understanding human cognition. Ideal learner Bayesian models assume that cognition can be usefully understood as optimal behavior under uncertainty, a hypothesis that has been supported by a number of modeling studies across various domains (e.g., Griffiths & Tenenbaum, 2005; Xu & Tenenbaum, 2007). The models in these...

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Statistical Aggregation and Hypothesis Testing Mechanisms Interact during Word Learning

Referential utterances are by their nature ambiguous to novice language learners. Each utterance consists of multiple layers of information that must be decoded: 1) the linguistic structure (how the sounds and words should be packaged into meaningful units), 2) the world structure (how people, objects and actions in the world relate to one another and which is the current focus of attention) an...

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ژورنال

عنوان ژورنال: Wiley Interdisciplinary Reviews: Cognitive Science

سال: 2017

ISSN: 1939-5078

DOI: 10.1002/wcs.1435