Prior expectation and the interpretation of natural language quantifiers
Linda M. Moxey, Anthony J. Sanford · The European Journal of Cognitive Psychology · 1993
The interpretation of natural language quantifiers depends, in part, on one's prior expectations about what the proportion being described might be. This hypothesis is tested empirically, by comparing the interpretation of 10 different quantifier expressions in three contexts which contained proportions about which subjects' expectations were reliably different (Experiment 1). It is further argued that quantifiers perform many functions which cannot be observed by considering only the proportion(s) denoted by a quantifier. The experimental evidence presented shows that quantifiers can provide information about what the user of the quantifier had expected before “knowing the facts” (Experiment 2). It is also clear that when writers produce a quantifier, they can reveal their assumptions about the prior expectations held by their readers (Experiment 2).