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

Andrea Nini, Carlo Corradini, Diansheng Guo, Jack Grieve

Research output: Contribution to journalArticlepeer-review

1156 Downloads (Pure)

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, the technique is demonstrated 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.
Original languageEnglish
Pages (from-to)102-125
JournalLanguage Dynamics and Change
Volume7
Issue number1
Early online date1 Jan 2017
DOIs
Publication statusPublished - 2017

Fingerprint

Dive into the research topics of 'The application of growth curve modeling for the analysis of diachronic corpora'. Together they form a unique fingerprint.

Cite this