In the case of many language acquisition tasks this behavior often takes the form of overgeneralization, but with eventual convergence to some target language given exposure to more data.
in this paper we consider how children acquire English dative verb constructions, comparing HBMs to a simpler alternative, a linear competition learning (LCL) algorithm that models the behavior of a given verb as the linear competition between the evidence for that verb, and the average behavior of verbs belonging to its same class.