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

  • Jelske Dijkstra*
  • , W.J. Heeringa
  • , Lysbeth Jongbloed-Faber
  • , H. Van de Velde
  • *Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    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.
    Original languageEnglish
    Number of pages13
    JournalFrontiers in Artificial Intelligence
    Volume4
    DOIs
    Publication statusPublished - 15 Apr 2021

    Fingerprint

    Dive into the research topics of 'Using Twitter Data for the Study of Language Change in Low-Resource Languages: A Panel Study of Relative Pronouns in Frisian'. Together they form a unique fingerprint.

    Cite this