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Proposing a pragmatic distinction for lexical anglicisms

Authors: Esme Winter Froemel; ONYSKO, Alexander;

Proposing a pragmatic distinction for lexical anglicisms

Abstract

While certain Anglicisms (e.g. Event and Kids in German) typically appear as marked lexical choices, such effects are absent in other Anglicisms (e.g. Film and PC in German). In order to investigate these different pragmatic interpretations, we consider the criterion of whether an Anglicism exists alongside a semantically-close equivalent in the recipient language or not. Based on this criterion, we introduce a distinction into two types of loans or, more generally, into two types of lexical innovation: catachrestic and non-catachrestic innovation. These are linked to two different types of implicatures as proposed in Levinson's theory of presumptive meanings. The distinction between the two types of loans will be exemplified by data drawn from a corpus analysis of Anglicisms in German. The discussion will particularly focus on frequency effects and on the importance of specific discourse traditions, which both underline the dynamic pragmatic nature of Anglicisms.

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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!
0
Average
Average
Average
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