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English verb regularization in books and tweets

The English language has evolved dramatically throughout its lifespan, to the extent that a modern speaker of Old English would be incomprehensible without translation. One concrete indicator of this process is the movement from irregular to regular (-ed) forms for the past tense of verbs. In this s...

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Detalles Bibliográficos
Autores principales: Gray, Tyler J., Reagan, Andrew J., Dodds, Peter Sheridan, Danforth, Christopher M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310258/
https://www.ncbi.nlm.nih.gov/pubmed/30592735
http://dx.doi.org/10.1371/journal.pone.0209651
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author Gray, Tyler J.
Reagan, Andrew J.
Dodds, Peter Sheridan
Danforth, Christopher M.
author_facet Gray, Tyler J.
Reagan, Andrew J.
Dodds, Peter Sheridan
Danforth, Christopher M.
author_sort Gray, Tyler J.
collection PubMed
description The English language has evolved dramatically throughout its lifespan, to the extent that a modern speaker of Old English would be incomprehensible without translation. One concrete indicator of this process is the movement from irregular to regular (-ed) forms for the past tense of verbs. In this study we quantify the extent of verb regularization using two vastly disparate datasets: (1) Six years of published books scanned by Google (2003–2008), and (2) A decade of social media messages posted to Twitter (2008–2017). We find that the extent of verb regularization is greater on Twitter, taken as a whole, than in English Fiction books. Regularization is also greater for tweets geotagged in the United States relative to American English books, but the opposite is true for tweets geotagged in the United Kingdom relative to British English books. We also find interesting regional variations in regularization across counties in the United States. However, once differences in population are accounted for, we do not identify strong correlations with socio-demographic variables such as education or income.
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spelling pubmed-63102582019-01-08 English verb regularization in books and tweets Gray, Tyler J. Reagan, Andrew J. Dodds, Peter Sheridan Danforth, Christopher M. PLoS One Research Article The English language has evolved dramatically throughout its lifespan, to the extent that a modern speaker of Old English would be incomprehensible without translation. One concrete indicator of this process is the movement from irregular to regular (-ed) forms for the past tense of verbs. In this study we quantify the extent of verb regularization using two vastly disparate datasets: (1) Six years of published books scanned by Google (2003–2008), and (2) A decade of social media messages posted to Twitter (2008–2017). We find that the extent of verb regularization is greater on Twitter, taken as a whole, than in English Fiction books. Regularization is also greater for tweets geotagged in the United States relative to American English books, but the opposite is true for tweets geotagged in the United Kingdom relative to British English books. We also find interesting regional variations in regularization across counties in the United States. However, once differences in population are accounted for, we do not identify strong correlations with socio-demographic variables such as education or income. Public Library of Science 2018-12-28 /pmc/articles/PMC6310258/ /pubmed/30592735 http://dx.doi.org/10.1371/journal.pone.0209651 Text en © 2018 Gray et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gray, Tyler J.
Reagan, Andrew J.
Dodds, Peter Sheridan
Danforth, Christopher M.
English verb regularization in books and tweets
title English verb regularization in books and tweets
title_full English verb regularization in books and tweets
title_fullStr English verb regularization in books and tweets
title_full_unstemmed English verb regularization in books and tweets
title_short English verb regularization in books and tweets
title_sort english verb regularization in books and tweets
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6310258/
https://www.ncbi.nlm.nih.gov/pubmed/30592735
http://dx.doi.org/10.1371/journal.pone.0209651
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