ABSTRACT
We present an extension of the ACT-R model by Taatgen and Anderson (2002) of learning the English past tense that can take into account the production of irregularization errors. These errors are produced by using examples of irregular verbs as the basis for analogy. The relative rareness of irregularization errors puts constraints on the rule generalization process. The model explains this by the fact that the probability for a particular irregularization is too low to establish a rule.
