Toward a “Standard Model” of Early Language Learning

A standard model is a theoretical framework that synthesizes observables into quantitative consensus. Have researchers made progress toward this kind of synthesis for children’s early language learning? Many computational models vocabulary learning assume individual words are learned through an accumulation environmental input. This assumption also implicit in empirical work emphasizes links between input and outcomes. However, have typically focused on average performance, whereas has variability. To variability, we relate the tradition research accumulator to item response theory from psychometrics. formal connection reveals currently available data sets do not allow test resulting fully, illustrating critical need contribute shaping new collection creating testing eventual model.