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Trends in Cognitive Sciences
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Trends in Cognitive Sciences
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Weak quantitative standards in linguistics research

Authors: Gibson, Edward A; Fedorenko, Evelina G;

Weak quantitative standards in linguistics research

Abstract

A serious methodological weakness affecting much research in syntax and semantics within the field of linguistics is that the data presented as evidence are often not quantitative in nature. In particular, the prevalent method in these fields involves evaluating a single sentence/meaning pair, typically an acceptability judgment performed by just the author of the paper, possibly supplemented by an informal poll of colleagues. Although acceptability judgments are a good dependent measure of linguistic complexity (results from acceptability–judgment experiments are highly systematic across speakers and correlate with other dependent measures, but see Ref.

Country
United States
Keywords

Research, Humans, Linguistics

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    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).
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    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.
    Top 1%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
141
Top 1%
Top 10%
Top 10%
Green
hybrid