During language acquisition children generalise at multiple layers of granularity. Ambridge argues that abstraction-based accounts suffer from lumping (over-general abstractions) or splitting (over-precise abstractions). Ambridge argues that the only way to overcome this conundrum is in a purely exemplar/analogy-based system in which generalisations are based on similarity to individual exemplars. However, to move our understanding forward, radical exemplar theory must include clearly specified mechanisms for analogy and similarity computation, and must account for changes in children’s generalisations across development.

中文翻译：

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激进样本理论的相似性，类比与发展：《关于安布里奇的评论》（2020年）

在语言习得过程中，孩子们会在多个粒度层次上进行概括。安布里奇（Ambridge）辩称，基于抽象的帐户遭受集总（过度概括的抽象）或分裂（过度精确的抽象）的困扰。安布里奇（Ambridge）认为，克服这一难题的唯一方法是在一个纯粹基于样本/类比的系统中，其中的归纳基于与各个样本的相似性。但是，为了使我们的理解向前发展，激进的模范理论必须包括明确规定的类比和相似度计算机制，并且必须考虑儿童在整个发展过程中的概括性变化。