Affiliation:
1. University of California, Santa Cruz
Abstract
Abstract
Binominal each is known to exhibit selectional requirements on the noun phrase that immediately precedes it. The goal of this paper is to reduce these selectional requirements to a single requirement of monotonic growth of measurement in relation to the ‘size’ of distributivity. More concretely, it is argued that binominal each imposes a constraint on the functional dependencies arising from distributive quantification, requiring that the measurement of its host grows monotonically with the number of values being distributively quantified. To make constraints on dependencies formally explicit, I devise a version of dynamic plural logic with features from van den Berg (1996) and Brasoveanu (2008, 2013) to semantically represent dependencies arising from evaluating distributive quantification. The use of a dynamic logic, coupled with a delayed evaluation mechanism in terms of higher order meaning (Cresti, 1995; Swart, 2000; Charlow, 2021, allows the constraint to act as an output context constraint on distributive quantification, which mirrors the use of output constraints pioneered by Farkas (1997, 2002b) and and further developed in Brasoveanu (2013), Henderson (2014) and Kuhn (2017).
Publisher
Oxford University Press (OUP)
Subject
Artificial Intelligence,Linguistics and Language,Arts and Humanities (miscellaneous)
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