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Revisiting the Philippine ethnolinguistic vitality: The case of Bugkalot language in a multilingual community.

  • Published In: Language Problems & Language Planning, 2025, v. 49, n. 1. P. 79 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Villamin de Roxas, John Arvin; Porbido Resueño, Celso Jr.; Britos De Leon, Kirck Michael; Ravago, Joan Corpuz; Angelie Abon-Amis, Karryl 3 of 3

Abstract

Socio-political factors and pragmatism are frequently cited for language attrition and endangerment. Thus, UNESCO has drawn attention to language vitality research as it is pivotal for language planning and revitalization programs. Bugkalot is an indigenous language that strives for survival in a multilingual community. Based on UNESCO's framework, this ethnographic study investigated the degree of vitality of the Bugkalot language. Today, the language is definitely endangered due to the disruption of intergenerational transmission. Tagalog and Ilocano now dominate the domains of language use and have begun to penetrate the homes. Likewise, Bugkalot language has dwindling social domains and is not used in school. It has no conventional orthography, insufficient documentation, and is spoken by the minority. Nonetheless, the community shows a positive attitude toward their heritage language. The findings of this study may help persuade the language community and the authorities to establish language revitalization programs. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Language Problems & Language Planning. 2025/01, Vol. 49, Issue 1, p79
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:0272-2690
  • DOI:10.1075/lplp.24035.vil
  • Accession Number:186416594
  • Copyright Statement:Copyright of Language Problems & Language Planning is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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