ABSTRACT
A formal model of learning as induction, the simplicity principle (e.g. Chater & Vitányi, 2001) states that the cognitive system seeks the hypothesis that provides the briefest representation of the available data–here the linguistic input to the child. Data gathered from the CHILDES database were used as an approximation of positive input the child receives from adults. We considered linguistic structures that would yield overgeneralization, according to Baker’s paradox (Baker, 1979). A simplicity based simulation was run incorporating two different hypotheses about the grammar: (1) The child assumes that there are no exceptions to the grammar. This hypothesis leads to overgeneralization. (2) The child assumes that some constructions are not allowed. For small corpora of data, the first hypothesis produced a simpler representation. However, for larger corpora, the second hypothesis was preferred as it lead to a shorter input description and eliminated overgeneralization.
