Nini, Andrea, Corradini, Carlo, Guo, Diansheng and Grieve, Jack (2017). The application of growth curve modeling for the analysis of diachronic corpora. Language Dynamics and Change, 7 (1), pp. 102-125.
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 |
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Divisions: | Languages & Social Sciences > English Languages & Social Sciences > Aston Institute for Forensic Linguistics Languages & Social Sciences > Centre for Language Research at Aston (CLaRA) Aston Business School 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 ( ![]() Guo, Diansheng Grieve, Jack ( ![]() |