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A constructivist dual-representation model of verb inflection

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Abstract

A constructivist neural network is presented that models impaired inflectional processing in German agrammatic aphasia. The model is based on a single mechanism and develops two types of representation through a constructivist learning process. The model accounts for data that has been taken as evidence for a dual mechanism theory of inflection, and it suggests an inflectional processing system that is based not on a distinction between regular and irregular cases, but between inflections that are easy and hard to learn. The model represents a succesful single-mechanism neural network account of verb inflections.