JOURNAL ARTICLE

To speak or not to speak Urdu: A Bihari dilemma in Bangladesh.

  • Published In: Australian Review of Applied Linguistics, 2026, v. 49, n. 1. P. 1 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Hossen, Mohammad Sajjad; Moore, Paul J. 3 of 3

Abstract

The only Urdu-speaking community in Bangladesh, known as the Bihari community, is a historically unique group that has experienced two consecutive dislocations within years. The community and their language have a troubled history in the country. This study sought to qualitatively understand some Bangladeshi Urdu speakers' Urdu-related experiences and perceptions from the perspective of minority language rights. Data were collected through semi-structured interviews and were then analyzed using a thematic analysis. Findings show that the research participants were aware of Urdu's illegitimacy in public perceptions. This stigma attached to Urdu affected their adherence to and motivated them to prioritize learning Bangla for greater social and economic integration. The study identified a critical necessity for legal protections to strengthen the link between Urdu and Urdu speakers. This study significantly contributes to the extant literature on minority language rights by unveiling how the historical past, nation-building discourses, and media representations can potentially shape and reshape the language choice of a speech minority. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Australian Review of Applied Linguistics. 2026/01, Vol. 49, Issue 1, p1
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2026
  • ISSN:0155-0640
  • DOI:10.1075/aral.23061.hos
  • Accession Number:191585207
  • Copyright Statement:Copyright of Australian Review of Applied Linguistics 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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