The application of growth curve modeling for the analysis of diachronic corporaCitation formats

  • Authors:
  • Andrea Nini
  • Carlo Corradini
  • Diansheng Guo
  • Jack Grieve

Standard

The application of growth curve modeling for the analysis of diachronic corpora. / Nini, Andrea; Corradini, Carlo; Guo, Diansheng; Grieve, Jack.

In: Language Dynamics and Change, Vol. 7, No. 1, 2017, p. 102-125.

Research output: Contribution to journalArticlepeer-review

Harvard

Nini, A, Corradini, C, Guo, D & Grieve, J 2017, 'The application of growth curve modeling for the analysis of diachronic corpora', Language Dynamics and Change, vol. 7, no. 1, pp. 102-125. https://doi.org/10.1163/22105832-00701001

APA

Nini, A., Corradini, C., Guo, D., & Grieve, J. (2017). The application of growth curve modeling for the analysis of diachronic corpora. Language Dynamics and Change, 7(1), 102-125. https://doi.org/10.1163/22105832-00701001

Vancouver

Author

Nini, Andrea ; Corradini, Carlo ; Guo, Diansheng ; Grieve, Jack. / The application of growth curve modeling for the analysis of diachronic corpora. In: Language Dynamics and Change. 2017 ; Vol. 7, No. 1. pp. 102-125.

Bibtex

@article{ad894e3b3ade4f6a8f13fbfe4d37a2b7,
title = "The application of growth curve modeling for the analysis of diachronic corpora",
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.",
author = "Andrea Nini and Carlo Corradini and Diansheng Guo and Jack Grieve",
year = "2017",
doi = "10.1163/22105832-00701001",
language = "English",
volume = "7",
pages = "102--125",
journal = "Language Dynamics and Change",
issn = "2210-5824",
publisher = "Brill ",
number = "1",

}

RIS

TY - JOUR

T1 - The application of growth curve modeling for the analysis of diachronic corpora

AU - Nini, Andrea

AU - Corradini, Carlo

AU - Guo, Diansheng

AU - Grieve, Jack

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

U2 - 10.1163/22105832-00701001

DO - 10.1163/22105832-00701001

M3 - Article

VL - 7

SP - 102

EP - 125

JO - Language Dynamics and Change

JF - Language Dynamics and Change

SN - 2210-5824

IS - 1

ER -