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Article . 2020 . Peer-reviewed
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Article . 2013 . Peer-reviewed
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Article . 2020
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Variation of verbal constructions in Estonian dialects

Authors: Kristel Uiboaed; Cornelius Hasselblatt; Liina Lindström; Kadri Muischnek; John Nerbonne;

Variation of verbal constructions in Estonian dialects

Abstract

Traditional Estonian dialect classifications are based on the phonology, morphology, and lexis, and there are very few studies about syntax available. The present article is the first quantitative syntactic study of Estonian dialects. We concentrate on constructions consisting of finite and non-finite verbs, and we apply contemporary statistical methods to explore the syntactic variation. Our results show that even bare token frequencies can identify syntactic patterns quite well, and that analyses exploiting collostructional methods makes the variational patterns even clearer. We use correspondence analysis and clustering to detect geographic influence on variation. The results suggest a syntax-based classification of dialects differs from the traditional classifications based mainly on phonology and lexis. Our data reveal systematic differences between eastern and western dialects at the syntactic level, whereas analyses based on phonology and lexis distinguish mainly between northern and southern dialects. The western dialects make more use of analytic constructions consisting of a finite and a non-finite verb form.

Countries
Germany, Netherlands
Keywords

ta6121

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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!
8
Average
Top 10%
Average
hybrid