How to Make the Most out of Very Little

Abstract

I review the problem of referential ambiguity that arises when children learn the meanings of words, along with a number of models that have been proposed to solve it. I then provide a formal analysis of why a resource-limited model that retains very few meaning hypotheses may be more effective than “big data” models that keep track of all word-meaning associations.