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

Katholieke Universiteit Leuven

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

80 Citations (Scopus)

624 Downloads (Pure)

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

Bibliographical note

Keywords

regional linguistic variation

Access to Document

10.1017/S095439451100007X

A statistical method for the identification and aggregation of regional linguistic variation
© Cambridge University Press
Final published version, 4.74 MB

http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=8347723

Cite this

@article{d2eb1272d5ce48589e70b92a860950a2,

title = "A statistical method for the identification and aggregation of regional linguistic variation",

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.",

keywords = "regional linguistic variation",

author = "Jack Grieve and Dirk Speelman and Dirk Geeraerts",

note = "{\textcopyright} Cambridge University Press",

year = "2011",

month = jul,

doi = "10.1017/S095439451100007X",

language = "English",

volume = "23",

pages = "193--221",

journal = "Language Variation and Change",

issn = "0954-3945",

publisher = "Cambridge University Press",

number = "2",

}

TY - JOUR

T1 - A statistical method for the identification and aggregation of regional linguistic variation

AU - Grieve, Jack

AU - Speelman, Dirk

AU - Geeraerts, Dirk

PY - 2011/7

Y1 - 2011/7

N2 - 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.

AB - 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.

KW - regional linguistic variation

UR - https://www.scopus.com/pages/publications/84855569364

U2 - 10.1017/S095439451100007X

DO - 10.1017/S095439451100007X

M3 - Article

SN - 0954-3945

VL - 23

SP - 193

EP - 221

JO - Language Variation and Change

JF - Language Variation and Change

IS - 2

ER -

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

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this