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Telicity marking in Hungarian

Authors: Kardos, Éva;

Telicity marking in Hungarian

Abstract

This paper explores the encoding of telicity in Hungarian. While proposing a mereological, scalar semantic analysis, it shows that Hungarian uses a telicity-marking strategy in which it contrasts with English, where telicity is not the direct consequence of an overt marker but arises as a cumulative effect of specific, well-definable properties of various components of verbal predicates including the head verb and its argument(s). A major contribution of the analysis, which mainly addresses telicity marking in the class of non-creation/non-consumption predicates in neutral sentences, lies in the fact that it reveals important cross-linguistic differences with respect to the aspectual role of verbal particles and resultative/locative expressions and the referential properties of telic verbal predicates. As for the former, it is demonstrated that Hungarian verbal particles and resultative/locative expressions mark telicity by directly placing bounds on events by virtue of serving an event maximalizing function, whereas the English counterparts of these elements do not have such direct event-bounding effects. As for the latter, it emerges that in Hungarian quantized reference is a necessary and sufficient condition for telicity in cases where in English it is only sufficient.

Related Organizations
Keywords

Language. Linguistic theory. Comparative grammar, P101-410, telicity, event maximalization, scalar change, lexical aspect, Hungarian

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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!
19
Top 10%
Top 10%
Average
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