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

Research output: Contribution to journalArticle

Authors

Colleges, School and Institutes

External organisations

  • University of Manchester
  • University of South Carolina

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.

Details

Original languageEnglish
Pages (from-to)102-125
JournalLanguage Dynamics and Change
Volume7
Issue number1
Publication statusPublished - 2017

Keywords

  • corpus linguistics , language change , word frequency , regression , growth curve modeling , time series , diachronic corpus , s-curve of language change