Proposes an alternative account of the child's learning of nouns and adjectives that relies on properties of the semantic categories to be learned and of the word-learning task itself. In five experiments, a simple connectionist network was trained to label input objects in particular contexts; the network learned categories resembling nouns…

Proposes that an important role for connectionist research in language acquisition is analyzing what linguistic information is present in the child's input. Recent connectionist and statistical work analyzing the properties of real language corpora suggest a priori objections against the utility of distributional information are misguided. This…