The application of growth curve modeling for the analysis of diachronic corpora

Abstract

This paper introduces growth curve modeling for the analysis of language change in corpus linguistics. In addition to describing growth curve modeling, which is a regression-based method for studying the dynamics of a set of variables measured over time, we demonstrate the technique through an analysis of the relative frequencies of words that are increasing or decreasing over time in a multi-billion word diachronic corpus of Twitter. This analysis finds that increasing words tend to follow a trajectory similar to the s-curve of language change, whereas decreasing words tend to follow a decelerated trajectory, thereby showing how growth curve modeling can be used to uncover and describe underlying patterns of language change in diachronic corpora.

Publication DOI: https://doi.org/10.1163/22105832-00701001
Divisions: ?? 53981500Jl ??
College of Business and Social Sciences > Aston Institute for Forensic Linguistics
College of Business and Social Sciences > School of Social Sciences & Humanities > Centre for Language Research at Aston (CLaRA)
College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Economics, Finance & Entrepreneurship
Uncontrolled Keywords: growth curve modeling,time series,language change,word frequency,corpus linguistics,regression,s-curve of language change,diachronic corpus,Language and Linguistics,Linguistics and Language
Full Text Link: https://www.res ... e4d37a2b7).html
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2017-01-01
Accepted Date: 2017-01-01
Authors: Nini, Andrea
Corradini, Carlo (ORCID Profile 0000-0001-9164-4108)
Guo, Diansheng
Grieve, Jack (ORCID Profile 0000-0003-3630-7349)

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