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Bilinguals' creativity and syntactic theory

Evidence for Emerging Grammar

Bibliographic Data

ID2268503
AuthorsTej K Bhatia (Syracuse University, corresponding author)
Year1989
Volume8
Issue3
Pages265-276
Publication date1989-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueWorld Englishes (JOURNAL)
Journal identifiersISSN: 0883-2919 • E-ISSN: 1467-971X
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1467-971x.1989.tb00668.x
OpenAlexW2093087109
LanguageEN
Citations received7
References cited11

This paper focuses on a code-mixed variety of English and Hindi, termed 'Filmi English', which has received little attention from scholars interested in nonnative varieties of English. In addition to extending the empirical scope of Indian English, the study aims at achieving the following two goals: first, to examine the formal and functional aspects of Filmi English, and second, to examine the adequacy of the transformational-generative and government-binding models of bilingual code-mixing proposed by Woolford [Linguistic Inquiry, 14, 520-536 (1983)] and Di Sciullo et al. [Journal of Linguistics, 12, 1-24 (1986)]. This paper calls for a reexamination of the conclusion arrived at by previous investigators that code-mixing yields no hybrid rules; therefore, no new grammar is born. It is argued that in at least one case-that of the Filmi English in South Asia-it is necessary to countenance the possibility that a third system specific to the mixed variety may arise. To achieve these goals a quantitative analysis of a corpus of more than 2000 intrasentential code-mixed sentences drawn from a film magazine, Stardust, is performed

Code (set theory · Code-mixing · Code-switching · Empirical research · English grammar · Epistemology · Generative grammar · Government (linguistics · Grammar · Hindi · Linguistics · Phrase structure rules · Scope (computer science · Sociology · Variety (cybernetics · Computer Science · Linguistic Variation and Morphology · Multilingual Education and Policy · Philosophy · Second Language Learning and Teaching · Artificial Intelligence

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Unique citing works7
Citations per year0,2
Citation span1991 - 2016 (26)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 6

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