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Semantics and Pragmatics
Article . 2017 . Peer-reviewed
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Semantics and Pragmatics
Article
License: CC BY
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The lexical pragmatics of count-mass polysemy

Authors: Falkum, Ingrid Lossius;

The lexical pragmatics of count-mass polysemy

Abstract

This paper investigates a subtype of systematic polysemy which in English (and several other languages) appears to rest on the distinction between count and mass uses of nouns (e.g., shoot a rabbit /eat rabbit /wear rabbit ). Computational semantic approaches have traditionally analysed such sense alternations as being generated by an inventory of specialised lexical inference rules. The paper puts the central arguments for such a rule-based analysis under scrutiny, and presents evidence that the linguistic component provided by count-mass syntax leaves a more underspecified semantic output than is usually acknowledged by rule-based theories. The paper develops and argues for the positive view that count-mass polysemy is better given a lexical pragmatic analysis, which provides a more flexible and unified account. Treating count-mass syntax as a procedural constraint on NP referents, it is argued that a single, relevance-guided lexical pragmatic mechanism can cover the same ground as lexical rules, as well as those cases in which rule-based accounts need to appeal to pragmatics. EARLY ACCESS

Country
Norway
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Keywords

410, 400

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    influence
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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!
9
Top 10%
Average
Top 10%
Green
gold