JOURNAL ARTICLE
On the etymology and distribution of verb forms in Arabic-based pidgins: A usage-based approach.
Published In: Journal of Pidgin & Creole Languages, 2025, v. 40, n. 1. P. 122 1 of 3
Database: Communication Source 2 of 3
Authored By: Louhichi, Imed 3 of 3
Abstract
In this paper, we add to the body of existing literature on Arabic-based pidgins. We focus on the verbal system because the structure of this phrasal category and how it is used in discourse remain inconclusive. For instance, while some claim these speakers prefer the imperfective form which is marked for male third person singular (e.g. y-iji '3sg.m-come.ipf'), others claim it is the imperative that is most preferred (e.g. rūh '2.sg.m-go.imp'). Equally, while some argue the choice between either verb forms is pragmatically motivated, others claim it is phonologically motivated. To add to this mix, a third group claims there is a systematic division of labor in that non-state verbs usually follow the prefixed type while the state verbs follow the unprefixed type. We evaluate these proposals. Analysis of 'frog story' narratives by 10 GPA speakers in the United Arab Emirates reveal the prefixed form to be the most preferred and this preference is influenced by the contriving of phonological, semantic, and pragmatic factors. Frequency as well as item-based analogy as understood within usage-based theories of learning provide a viable framework in which the apparent inconsistencies between the competing proposals are resolved. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Pidgin & Creole Languages. 2025/01, Vol. 40, Issue 1, p122
- Document Type:Article
- Subject Area:Language and Linguistics
- Publication Date:2025
- ISSN:0920-9034
- DOI:10.1075/jpcl.00120.lou
- Accession Number:186246873
- Copyright Statement:Copyright of Journal of Pidgin & Creole Languages 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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