Competitive Processes in Cross-Situational Word Learning
Competitive Processes in Cross-Situational Word Learning
复制标题
跨情境单词学习的竞争过程
DOI：
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Linda B. Smith
中科院分区：
文献类型：
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作者：
Daniel Yurovsky;Chen Yu;Linda B. Smith
跨情境单词学习，就像任何统计学习问题一样，涉及跟踪环境中的规律性。然而，学习者从这些规律中获取的信息取决于他们的学习机制。本文研究了一种机制在统计单词学习中的作用：竞争。竞争机制将使学习者能够在嘈杂的输入中找到信号，并有助于解释学习者在统计学习任务中取得成功的速度。因为跨情境单词学习提供了多种尺度的信息——在试验/情境之内和之间——学习者可以在这两个尺度中的一个或两个尺度上实施竞争。一系列的四个实验表明，跨情境学习涉及两个规模层面的竞争，并且这些机制相互作用以支持快速学习。这两种机制的影响都是从跨情境学习的过程层面理解的角度来考虑的。
Cross-situational word learning, like any statistical learning problem, involves tracking the regularities in the environment. However, the information that learners pick up from these regularities is dependent on their learning mechanism. This article investigates the role of one type of mechanism in statistical word learning: competition. Competitive mechanisms would allow learners to find the signal in noisy input and would help to explain the speed with which learners succeed in statistical learning tasks. Because cross-situational word learning provides information at multiple scales-both within and across trials/situations-learners could implement competition at either or both of these scales. A series of four experiments demonstrate that cross-situational learning involves competition at both levels of scale, and that these mechanisms interact to support rapid learning. The impact of both of these mechanisms is considered from the perspective of a process-level understanding of cross-situational learning.
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作者：
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影响因子：
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影响因子：
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作者：
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通讯作者：
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