JOURNAL ARTICLE

Variation in Asian and Pacific Islander North American English: What the patterns of scholarship demonstrate about race in sociolinguistics.

  • Published In: Asia-Pacific Language Variation (APLV), 2024, v. 10, n. 1. P. 67 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Cheng, Andrew; Cheng, Lauretta; Gonzales, Wilkinson Daniel Wong; Umbal, Pocholo 3 of 3

Abstract

Within sociolinguistic research on English variation, Asian and Pacific Islander North Americans (APINAs) are frequently described as an "understudied population" due to the relative lack of published studies that analyze these speakers or communities. This structured literature review systematically characterizes the state of the field from a variationist perspective. We find that while studies on APINAs have become more common in the last decade, different groups are represented unevenly in the existing literature; for example, East Asian groups are commonly represented in the literature in contrast to South Asian groups. Furthermore, the vast majority of variationist studies analyze phonetic and phonological variation, with a theoretical focus on identifying participation in race-based varieties (ethnolects/raciolects) or in sound changes of the "majority" population, rather than using the inherent diversity of APINA groups to bring attention to how race and ethnicity are being used in Sociolinguistics. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Asia-Pacific Language Variation (APLV). 2024/01, Vol. 10, Issue 1, p67
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:2215-1354
  • DOI:10.1075/aplv.23009.che
  • Accession Number:179356442
  • Copyright Statement:Copyright of Asia-Pacific Language Variation (APLV) 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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