Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian

This paper investigates the usability of Twitter as a resource for the study of language change in progress in low-resource languages. It is a panel study of a vigorous change in progress, the loss of final t in four relative pronouns (dy't, dêr't, wêr't, wa't) in Frisian, a lang...

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Main Authors: Jelske Dijkstra, Wilbert Heeringa, Lysbeth Jongbloed-Faber, Hans Van de Velde
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2021.644554/full
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author Jelske Dijkstra
Jelske Dijkstra
Wilbert Heeringa
Lysbeth Jongbloed-Faber
Lysbeth Jongbloed-Faber
Hans Van de Velde
Hans Van de Velde
author_facet Jelske Dijkstra
Jelske Dijkstra
Wilbert Heeringa
Lysbeth Jongbloed-Faber
Lysbeth Jongbloed-Faber
Hans Van de Velde
Hans Van de Velde
author_sort Jelske Dijkstra
collection DOAJ
description This paper investigates the usability of Twitter as a resource for the study of language change in progress in low-resource languages. It is a panel study of a vigorous change in progress, the loss of final t in four relative pronouns (dy't, dêr't, wêr't, wa't) in Frisian, a language spoken by ± 450,000 speakers in the north-west of the Netherlands. This paper deals with the issues encountered in retrieving and analyzing tweets in low-resource languages, in the analysis of low-frequency variables, and in gathering background information on Twitterers. In this panel study we were able to identify and track 159 individual Twitterers, whose Frisian (and Dutch) tweets posted in the era 2010–2019 were collected. Nevertheless, a solid analysis of the sociolinguistic factors in this language change in progress was hampered by unequal age distributions among the Twitterers, the fact that the youngest birth cohorts have given up Twitter almost completely after 2014 and that the variables have a low frequency and are unequally spread over Twitterers.
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spelling doaj.art-fd7fb664b61048d68e79ffbfd2b8bf392022-12-21T22:52:07ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122021-04-01410.3389/frai.2021.644554644554Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in FrisianJelske Dijkstra0Jelske Dijkstra1Wilbert Heeringa2Lysbeth Jongbloed-Faber3Lysbeth Jongbloed-Faber4Hans Van de Velde5Hans Van de Velde6Fryske Akademy, Leeuwarden, NetherlandsMercator European Research Centre on Multilingualism and Language Learning, Leeuwarden, NetherlandsFryske Akademy, Leeuwarden, NetherlandsFryske Akademy, Leeuwarden, NetherlandsFaculty of Arts and Social Sciences, Maastricht University, Maastricht, NetherlandsFryske Akademy, Leeuwarden, NetherlandsDepartment of Languages, Literature and Communication, Utrecht University, Utrecht, NetherlandsThis paper investigates the usability of Twitter as a resource for the study of language change in progress in low-resource languages. It is a panel study of a vigorous change in progress, the loss of final t in four relative pronouns (dy't, dêr't, wêr't, wa't) in Frisian, a language spoken by ± 450,000 speakers in the north-west of the Netherlands. This paper deals with the issues encountered in retrieving and analyzing tweets in low-resource languages, in the analysis of low-frequency variables, and in gathering background information on Twitterers. In this panel study we were able to identify and track 159 individual Twitterers, whose Frisian (and Dutch) tweets posted in the era 2010–2019 were collected. Nevertheless, a solid analysis of the sociolinguistic factors in this language change in progress was hampered by unequal age distributions among the Twitterers, the fact that the youngest birth cohorts have given up Twitter almost completely after 2014 and that the variables have a low frequency and are unequally spread over Twitterers.https://www.frontiersin.org/articles/10.3389/frai.2021.644554/fullCMCFrisianrelative pronount-deletionpanel studyfrequency
spellingShingle Jelske Dijkstra
Jelske Dijkstra
Wilbert Heeringa
Lysbeth Jongbloed-Faber
Lysbeth Jongbloed-Faber
Hans Van de Velde
Hans Van de Velde
Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
Frontiers in Artificial Intelligence
CMC
Frisian
relative pronoun
t-deletion
panel study
frequency
title Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
title_full Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
title_fullStr Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
title_full_unstemmed Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
title_short Using Twitter Data for the Study of Language Change in Low-Resource Languages. A Panel Study of Relative Pronouns in Frisian
title_sort using twitter data for the study of language change in low resource languages a panel study of relative pronouns in frisian
topic CMC
Frisian
relative pronoun
t-deletion
panel study
frequency
url https://www.frontiersin.org/articles/10.3389/frai.2021.644554/full
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