Learning argument structure generalizations

General correlations between form & meaning at the level of argument structure patterns have often been assumed to be innate. Claims of innateness typically rest on the idea that the input is not rich enough for general learning strategies to yield the required representations. The present work demonstrates that the semantics associated with argument structure generalizations can indeed be learned, given the nature of the input & an understanding of general categorization strategies. Examination of an extensive corpus study of children's & mothers' speech shows that tokens of one particular verb are found to account for a great majority of instances of each argument frame considered. Experimental results are reported that demonstrate that high token frequency of a single prototypical exemplar facilitates the learning of constructional meaning. 7 Tables, 118 References. Adapted from the source document