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Literary and Linguistic Computing
Article . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 2020
Data sources: DBLP
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Measuring Syntactic Variation in Dutch Dialects

Authors: Marco René Spruit;

Measuring Syntactic Variation in Dutch Dialects

Abstract

This research applies dialectometric methods to purely syntactic dialect data. It will be shown that there is geographic cohesion in syntactic variation when viewed in the aggregate. The amount of syntactic variation which can be accounted for by geography will be determined. Dialectometric techniques will be used to develop an additive measure of syntactic differences. Multidimensional scaling will be applied to visualise the geographic distribution of the Dutch dialects with respect to syntactic variation in the aggregate. The Dutch dialect map based on a syntactic measure will be compared with a dialect map based on subjective judgements and a dialect map based on pronunciation differences to put the syntactic measurement results into perspective. An alternative way to measure syntactic distance will be presented and will provide indications for future research to more accurately quantify syntactic variation.

Country
Netherlands
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    selected citations
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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).
    22
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
22
Top 10%
Top 10%
Top 10%
bronze