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Implicit learning and statistical learning: one phenomenon, two approaches.

机译:内隐学习和统计学习:一种现象,两种方法。

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The domain-general learning mechanisms elicited in incidental learning situations are of potential interest in many research fields, including language acquisition, object knowledge formation and motor learning. They have been the focus of studies on implicit learning for nearly 40 years. Stemming from a different research tradition, studies on statistical learning carried out in the past 10 years after the seminal studies by Saffran and collaborators, appear to be closely related, and the similarity between the two approaches is strengthened further by their recent evolution. However, implicit learning and statistical learning research favor different interpretations, focusing on the formation of chunks and statistical computations, respectively. We examine these differing approaches and suggest that this divergence opens up a major theoretical challenge for future studies.
机译:在偶然学习情况下引起的领域通用学习机制在许多研究领域中具有潜在的兴趣,包括语言习得,对象知识形成和运动学习。近40年来,它们一直是内隐学习研究的重点。 Saffran和合作者进行的开创性研究在过去的10年中进行了统计学学习的研究,这是源于不同的研究传统,而统计学的研究似乎密切相关,并且由于最近的发展,这两种方法之间的相似性进一步增强。但是,隐式学习和统计学习研究倾向于不同的解释,分别侧重于块的形成和统计计算。我们研究了这些不同的方法,并建议这种差异为将来的研究提出了重大的理论挑战。

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