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

In: Language Dynamics and Change
Authors:
Andrea Nini University of Manchester andrea.nini@manchester.ac.uk

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Carlo Corradini Aston University c.corradini@aston.ac.uk

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Diansheng Guo University of South Carolina guod@mailbox.sc.edu

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Jack Grieve Aston University j.grieve1@aston.ac.uk

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Online Publication Date:
01 Jan 2017
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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.

Title:
The application of growth curve modeling for the analysis of diachronic corpora
Article Type:
Research Article
DOI:
https://doi.org/10.1163/22105832-00701001
Language:
English
Pages:
102–125
Keywords:
corpus linguistics; language change; word frequency; regression; growth curve modeling; time series; diachronic corpus; s-curve of language change
In:
Language Dynamics and Change
In:
Volume 7: Issue 1
Publisher:
Brill
E-ISSN:
2210-5832
Print ISSN:
2210-5824
Subjects:
Historical and Comparative Linguistics & Linguistic Typology, Languages and Linguistics

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