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- Title
A statistical method for the identification and aggregation of regional linguistic variation.
- Authors
Grieve, Jack; Speelman, Dirk; Geeraerts, Dirk
- Abstract
This paper introduces a method for the analysis of regional linguistic variation. The method identifies individual and common patterns of spatial clustering in a set of linguistic variables measured over a set of locations based on a combination of three statistical techniques: spatial autocorrelation, factor analysis, and cluster analysis. To demonstrate how to apply this method, it is used to analyze regional variation in the values of 40 continuously measured, high-frequency lexical alternation variables in a 26-million-word corpus of letters to the editor representing 206 cities from across the United States.
- Subjects
LINGUISTICS; IDENTIFICATION; AGGREGATION (Statistics); LANGUAGE &; languages; AUTOCORRELATION (Statistics); LEXICAL access; CLUSTER analysis (Statistics)
- Publication
Language Variation & Change, 2011, Vol 23, Issue 2, p193
- ISSN
0954-3945
- Publication type
Article
- DOI
10.1017/S095439451100007X