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ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
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Corpus-based Low Saxon dialectometry

Authors: Siewert, Janine;

Corpus-based Low Saxon dialectometry

Abstract

In this corpus-based study, we explore how the similarity of Low Saxon dialectsamong each other and to the state languages Dutch and German has changed fromthe 19th century to today. In particular, we want to investigate if the traditionalclassification into an eastern and a western group is visible in the data and if theLow Saxon dialects can be found to diverge at the Dutch-German border. We apply principal component analysis and hierarchical clustering to n-grams ofcharacters, part of speech tags and morphological features and observe divergentdevelopments at the separate levels. As a reflection of different orthographic traditions, a noticeable distance between Dutch Low Saxon and German Low Saxon canbe attested at the character level. At the PoS and morphological level, we howeverfind a particular closeness between Dutch Low Saxon and the northern dialectsfrom Germany, while we see German Westphalian in an outlier position. A shift towards the state languages can be observed at the PoS level, but the overall distancebetween Dutch Low Saxon and German Low Saxon does not seem to markedlyincrease at the three levels we studied.

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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!
0
Average
Average
Average
Green