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Revitalizing Endangered Languages

Edited by Justyna Olko & Julia Sallabank

Revitalizing Endangered Languages "This guidebook provides ideas and strategies, as well as some background, to help with the effective revitalization of endangered languages. It covers a broad scope of themes including effective planning, benefits, wellbeing, economic aspects, attitudes and ideologies."

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Dissertation Information

Title: Spanish/English Codeswitching in Fiction: A grammatical and discourse function analysis Add Dissertation
Author: Laura Callahan Update Dissertation
Email: click here to access email
Institution: University of California, Berkeley, Department of Spanish and Portuguese
Completed in: 2001
Linguistic Subfield(s): Sociolinguistics; Text/Corpus Linguistics;
Subject Language(s): English
Director(s): Milton Azevedo

Abstract: The bulk of the literature on codeswitching treats oral codeswitching. The majority of studies on written Spanish/English codeswitching concentrate on poetry. Most of the studies that have been published on codeswitching in fiction deal with the sociolinguistic situations reflected by this practice; few attempt a structural analysis. This dissertation examines the general similarities and differences between oral and written codeswitching, and tests Myers-Scotton's Matrix Language Frame (MLF) model of structural constraints on a corpus of written data. The corpus consists of a total of thirty texts: novels and short stories containing Spanish/English codeswitching published in the United States between 1970-2000. Whether the patterns of codeswitching in the corpus support or fail to support the principles of the MLF model has significance in relation not only to what adjustments to this model may be necessary, but also to whether constraints formulated on the basis of oral codeswitching can predict written codeswitching. The analysis reveals relatively few counterexamples to the MLF model; the overwhelming majority of codeswitches found in these texts can be accounted for by Myers-Scotton's model of structural constraints. The most salient feature of the data is a high incidence of Matrix Language (ML) shifts at mid-sentence. Modifications are proposed to the original exposition of the model in regard to the flexibility of the ML and the constituent types possible.