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

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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.

Affiliations: 1: University of Manchester andrea.nini@manchester.ac.uk ; 2: Aston University c.corradini@aston.ac.uk ; 3: University of South Carolina guod@mailbox.sc.edu ; 4: Aston University j.grieve1@aston.ac.uk

10.1163/22105832-00701001
/content/journals/10.1163/22105832-00701001
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/content/journals/10.1163/22105832-00701001
2017-01-01
2017-11-23

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