Grieve, Jack, Speelman, Dirk and Geeraerts, Dirk (2011). A statistical method for the identification and aggregation of regional linguistic variation. Language Variation and Change, 23 (2), pp. 193-221.
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.
Publication DOI: | https://doi.org/10.1017/S095439451100007X |
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Divisions: | ?? 53981500Jl ?? College of Business and Social Sciences > Aston Institute for Forensic Linguistics |
Additional Information: | © Cambridge University Press |
Uncontrolled Keywords: | regional linguistic variation,Linguistics and Language,Language and Linguistics,Education |
Publication ISSN: | 1469-8021 |
Last Modified: | 19 Dec 2024 08:05 |
Date Deposited: | 19 Aug 2019 10:15 |
Full Text Link: |
http://journals ... ine&aid=8347723 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2011-07 |
Authors: |
Grieve, Jack
(
0000-0003-3630-7349)
Speelman, Dirk Geeraerts, Dirk |