A statistical method for the identification and aggregation of regional linguistic variation

Jack Grieve; Dirk Speelman; Dirk Geeraerts

doi:10.1017/S095439451100007X

A statistical method for the identification and aggregation of regional linguistic variation

Jack Grieve, Dirk Speelman, Dirk Geeraerts

Aston Institute for Forensic Linguistics

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	193-221
Number of pages	29
Journal	Language Variation and Change
Volume	23
Issue number	2
DOIs	https://doi.org/10.1017/S095439451100007X
Publication status	Published - Jul 2011

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Keywords

regional linguistic variation

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10.1017/S095439451100007X

A statistical method for the identification and aggregation of regional linguistic variation
© Cambridge University Press
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http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8347723

Cite this

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A statistical method for the identification and aggregation of regional linguistic variation

Abstract

Bibliographical note

Keywords

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