On the areal division of Estonia according to dialect and folklore material Cover Image

Eesti murde- ja folklooriala piiritlemisest
On the areal division of Estonia according to dialect and folklore material

Author(s): Arvo Krikmann
Subject(s): Language and Literature Studies
Published by: SA Kultuurileht
Keywords: dialect vocabulary; riddles; proverbs; areal distribution; dialect areas; folklore areas; proverb regions; statistics; strength of relationships; coefficient of colligation; correlation coefficient; euclidean distance; regression analysis; factor analysis

Summary/Abstract: The article draws on the author’s web publication Uusi unistusi eesti murde- ja folkloorialade piiritlemise teemal („More dreams on the areal division of Estonia as based on dialect words, riddles and proverbs”, http://www.folklore.ee/~kriku/TRANSPORT/Geotypo.pdf), which studies the corpora of Estonian dialect words, riddles and proverbs seeking for arguments to support the following assumption: The peripheral/central position of geographic units, the rare/common character of the material and agglomeration/dispersal of groups formed of the geographic units are, essentially, dimensions of the same thing. Our analysis of the Estonian data of three domains reveals two well-defined areas of language and culture and one less salient: (1) South-Eastern Estonia in abroad sense (Se+Võ+TaL) together with the less concentrated Mulgi region; (2) the West-Estonian Islands together with the less concentrated Western and North-Western Estonia; (3) the Northern and North-Eastern Coast of Estonia. For the central part of Northern Estonia, the closer the more similar is also the general rule, without revealing, however, any well-defined areal groups. The material similarity of the geographic units is measured by average standardized coefficients of colligation (lambda-coefficient). Graphic identification of the dialect and folklore areas relies on the descending lambda-rankings of the strength of relationships between pairs of parishes, complemented by some elements of factor and cluster analysis. The article is introduced by a brief overview of the frequency distributions of cultural versus geographic units, relationships between lambda-coefficients, correlation coefficients, and euclidean distances and the distances between geographic units, as well as of the geographical distribution of rare versus common material.

  • Issue Year: LVII/2014
  • Issue No: 08-09
  • Page Range: 708-721
  • Page Count: 14
  • Language: Estonian