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

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Andrea Nini , Carlo Corradini , Diansheng Guo , Jack Grieve ·

YOU? · · 2017 · Open Access · · DOI: https://doi.org/10.1163/22105832-00701001

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.

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Set (abstract data type) Latent growth modeling Language change Dynamics (music) Growth curve (statistics) Computer science Trajectory Word (group theory) Corpus linguistics Regression analysis Parallel corpora Natural language processing Linguistics Artificial intelligence Mathematics Statistics Sociology Pedagogy Physics Astronomy Philosophy Programming language Machine translation Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.1163/22105832-00701001
PDF: https://brill.com/downloadpdf/view/journals/ldc/7/1/article-p102_3.pdf
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Cited By: 11
References: 44
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DOI: https://doi.org/10.1163/22105832-00701001

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

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Language: en

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Publication year: 2017

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Publication date: 2017-01-01

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

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Landing page: https://doi.org/10.1163/22105832-00701001

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Concepts: Set (abstract data type), Latent growth modeling, Language change, Dynamics (music), Growth curve (statistics), Computer science, Trajectory, Word (group theory), Corpus linguistics, Regression analysis, Parallel corpora, Natural language processing, Linguistics, Artificial intelligence, Mathematics, Statistics, Sociology, Pedagogy, Physics, Astronomy, Philosophy, Programming language, Machine translation, Machine learning

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Cited by: 11

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