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Studia Linguistica
Article . 2020 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Studia Linguistica
Article
License: CC BY NC ND
Data sources: UnpayWall
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On the Interpretation and use of Causal Verb‐first‐clauses in German

Authors: Sonja Taigel;

On the Interpretation and use of Causal Verb‐first‐clauses in German

Abstract

AbstractThis article is concerned with the grammatical properties and interpretations of a particular type of verb‐first‐clause in German, in passing also looking at theWo‐verb‐end‐clause. Based on corpus data and a judgement study, characteristics which have been attributed to these clause types will be questioned: The assumption that the utterances’ contents is presupposed and that this is whydochoccurs in this context so often will be rejected. Data also show that the strict association of verb‐first and causality, on the one hand, andWo‐verb‐end and concessivity, on the other hand, is too strong an assumption. It will be claimed thatdochis indirectly responsible for causality by assuming that a causal default interpretation is decisive. The proposed modelling ofdochprovides an explanation why the particle facilitates the causal reading and it also allows to derive certain stylistic effects.

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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
Average
hybrid