Multilingual writing

A reader-oriented typology - with examples from Lira Municipality (Uganda)

Bibliographic Data

ID3138633
AuthorsMechthild Reh (Universität Hamburg, corresponding author)
Year2004
Volume2004
Issue170
Pages1-41
Publication date2004-01-29
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueInternational Journal of the Sociology of Language (JOURNAL)
Journal identifiersISSN: 0165-2516 • E-ISSN: 1613-3668
PublisherWalter de Gruyter GmbH (PUBLISHER • DE)
DOI10.1515/ijsl.2004.2004.170.1
OpenAlexW2094769809
LanguageEN
Citations received141

Parallel to the current growth of societal and individual multilingualism, there is also a multiplication of the availability of and need for multilingual written texts of all types. Both the number and the type of such texts in a given area depend on a variety of factors, such as the number of languages present, language policy, the status of speakers, the self-esteem of speakers, the reader-orientation of text suppliers, etc., and thus the number and type of these texts reflect the social layering within a community. The article proposes a model for describing and analyzing multilingual written texts in a way that facilitates meaningful analyses both within and across regions, domains, and societies by using parameters such as spatial mobility of the object inscribed, visibility of multilingualism, and specific type of the arrangement of multilingual information (duplicating, fragmentary, overlapping, complementary). The model is exemplified on the basis of stationary multilingual written text as observed in Lira Town (Uganda) between 2000 and 2002. These and additional data are then used (a) to supply brief analyses for a number of linguistically visible domains (health, agriculture, bookshops, politics, advertising) by correlating the publicly visible written language use with the linguistic knowledge of the population, and (b) to discuss its potential influence on the status of the languages involved

Linguistics · Multilingualism · Political science · Politics · Population · Sociology · Typology · Anthropology · Computer Science · Gender Studies in Language · Multilingual Education and Policy · Second Language Learning and Teaching · Artificial Intelligence

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