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Dataset . 2019
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Data sources: DataverseNO
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Dataset . 2019
Data sources: Datacite
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Replication Data for: Universal linguistic hierarchies are not innately wired

Authors: Leivada, Evelina; Westergaard, Marit;

Replication Data for: Universal linguistic hierarchies are not innately wired

Abstract

This research put the nature and rigidity of linguistic hierarchies to test, taking multiple adjective placement as a case study. We developed an on-line forced choice experiment that measured (i) acceptability judgment ratings and (ii) reaction times, in a big sample of neurotypical, adult speakers of Standard Greek (n=140) and Cypriot Greek (n=30). The task compares what happens when people are asked to process sentences that either comply with or violate allegedly universal ordering constraints that have been described as the outcome of innately wired hierarchies. Our findings do not provide any evidence for a universal hierarchy for adjective ordering that imposes one rigid, unmarked order. We argue that the obtained results are effectively reducing the amount of primitives that are cast as innate, eventually offering a deflationist approach to human linguistic cognition.

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Keywords

forced choice experiment, Universal Grammar, experimental linguistics, Likert scale, Arts and Humanities

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citations
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