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Article . 2024 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Countability in Kaingang

Authors: Michel Platiny Assis Navarro;

Countability in Kaingang

Abstract

This paper is the first investigation of nominal countability in Kaingang, a Jê language spoken in Brazil. The main claim of this paper is that all Kaingang nouns are lexically count. This hypothesis is supported by a number of morphosyntactic and semantic properties of nouns in the language. Among them two crucial properties emerge: (i) Kaingang allows numerals and other count quantity expressions to combine directly with individual and substance nouns, and (ii) in quantity judgement tasks (Barner & Snedeker 2005) comparisons with both types of nouns are cardinality-based. I analyze this generalized counting strategy as a direct effect of the lexical semantics of nouns. Building on Krifka’s approach (1989; 2007; 2008), I argue that all Kaingang nouns are born quantized, i.e., they are lexically equipped with a context-sensitive built-in counting function that measures quantities in terms of individual- or portion-units. This paper contributes with additional crosslinguistic evidence to two claims: (i) that the mass/count distinction in the nominal domain isn’t a language universal (Wiltschko 2012), and (ii) that the defining property of count nouns is quantization, rather than atomicity (Krifka 1989; 2007).

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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!
1
Average
Average
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