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Singular count pseudo-partitives

Authors: Grove, Julian;

Singular count pseudo-partitives

Abstract

Inversion-constructions, like too tasty of a cake and a disaster of a conference, have generally been treated separately from superficially similar-looking pseudo-partitives, like three gallons of water. I argue for an analysis that unifies the syntax and semantics of the two constructions through a proposal about the head of that appears in both. Both constructions involve the composition of two properties: one is contributed by the head noun; the other is contributed by the modifier, i.e., the measure-phrase in pseudo-partitives and the noun phrase or degree phrase in inversion-constructions. Moreover, while pseudo-partitives involve the composition of two properties of individuals, inversion-constructions involve the composition of two properties of states. A single semantic constraint—non-divisiveness of the property denoted by the modifier—is seen to play a role in both types of constructions, and, in particular, to predict both the monotonicity of modifiers in pseudo-partitives and the gradability of modifiers in inversion-constructions.

Proceedings of Sinn und Bedeutung, Vol 19 (2015): Proceedings of Sinn und Bedeutung 19

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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