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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1075/rllt.8...
Part of book or chapter of book . 2015 . Peer-reviewed
Data sources: Crossref
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Reflexively marked anticausatives are not semantically reflexive

Authors: Florian Schäfer; Margot Vivanco;

Reflexively marked anticausatives are not semantically reflexive

Abstract

We discuss the recent proposal by Koontz-Garboden (2009) (cf. also Chierchia 2004) that reflexively marked anticausative verbs (in Romance languages and beyond) are semantically reflexive. This proposal predicts that a sentence headed by a lexical causative verb should not entail the sentence headed by the reflexively marked anticausative counterpart. We uncover problems with the main argument for this claim and add further tests which show that a causative sentence does, in fact, entail its anticausative counterpart, whether reflexively marked or not. Our findings support standard semantics of the causative alternation according to which anticausatives, whether reflexively marked or not, denote inchoative one-place predicates. They also reconfirm that the relevant reflexive morphology is syncretic and does not necessarily derive reflexive semantics.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
25
Top 10%
Average
Average
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