JOURNAL ARTICLE

The Dictionary of American Regional English and the idea of dialect.

  • Published In: Historiographia Linguistica, 2025, v. 52, n. 1. P. 41 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Adams, Michael 3 of 3

Abstract

Summary: Though originally conceived as an American dialect dictionary, on the model of the English Dialect Dictionary, the Dictionary of American Regional English (DARE) is significantly different from its predecessors, as well as theoretically and technically distinct from the dictionary the American Dialect Society thought its members would compile. DARE marks the transition from traditional dialectology to a more fluid approach to documenting and mapping variation in the second half of the twentieth century. Frederic G. Cassidy, who planned DARE and was its original chief editor, began to doubt the usefulness of the concept dialect in the 1940s, preferring to think of variation as regional, as reflected in the dictionary's title. Regional variation resists isoglosses and reified dialect areas and instead distributes usage differently word by word, wherever the evidence leads, outliers and all. Cassidy's innovations represent reactions both to his reading of William Dwight Whitney on dialect and to treatment of dialect in Leonard Bloomfield's Language (1933). Cassidy's new way of analyzing and representing variation converged with those developed in American sociolinguistics of the same period. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Historiographia Linguistica. 2025/01, Vol. 52, Issue 1, p41
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2025
  • ISSN:0302-5160
  • DOI:10.1075/hl.00171.ada
  • Accession Number:186746909
  • Copyright Statement:Copyright of Historiographia Linguistica 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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