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Comparative Optimality Theory Analysis of Primary Stress Assignment in Standard British and Nigerian English

Bibliographic Data

ID19527079
AuthorsGideon Sunday Omachonu (corresponding author)
Year2008
Volume9
Issue1
Pages91-112
Publication date2008-03-31
Open AccessYes
TypeARTICLE
VenueJournal of Universal Language (JOURNAL)
Journal identifiersISSN: 1598-6381 • E-ISSN: 2508-5344
PublisherSejong University Language Research Institute (PUBLISHER)
DOI10.22425/jul.2008.9.1.91
OpenAlexW2244449089
LanguageEN
Citations received4
References cited13

This work presents a comparative optimality account of primary stress assignment in Standard British English (SBE) and Nigerian English (NE), particularly from the point of view of Igala users of English as a second language. Data for this study included ready- made exercises and already recorded cassettes, which deal directly with primary stress assignment in SBE. This is in addition to the researcher’s knowledge of these varieties of English, his choice of a native speaker of SBE as a language helper as well as useful pieces of information collated using wordlists. The method for elicitation of segments was mainly perceptual. The study has demonstrated how the constraint ordering in Standard British English is ‘naturally’ re- ordered in Nigerian English observing that the different constraint orderings notwithstanding, these constraints are the same, and are present in each of these varieties. It has shown also that Optimality Theory satisfies the requirement that any serious theory of phonology must rely heavily on well-formedness constraints, which means it must be committed to universal grammar, a fact that places the theory at an advantage over its predecessors

British English · English language · Grammar · Linguistics · Mathematics education · Natural language processing · Optimality theory · Perception · Phonology · Standard English · Computer Science · EFL/ESL Teaching and Learning · Linguistic Variation and Morphology · Mathematics · Phonetics and Phonology Research · Psychology · Artificial Intelligence

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Citations per year0.22
Citation span2008 - 2020 (13)
Highly citedNo

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