Nigerian English: History, functions and features
Abstract This article offers a comprehensive overview of Nigerian English, a rapidly expanding variety of world Englishes, recognised as one of the fastest‐growing varieties of English globally in numerical terms. This article has four aims. First, it discusses the historical developments of English in Nigeria with reference to the events that led to ...
Kingsley O. Ugwuanyi +1 more
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Perceptual adaptation to dysarthric speech is modulated by concurrent phonological processing: A dual task study. [PDF]
Adank P, Wang H, Hepworth T, Borrie SA.
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The /R/ in the syllable coda position in the Campinas native accent
Cândida Mara Britto Leite
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Sociolinguistic variation in the rhythm of Nigerian English speech
Abstract There is a dearth of research on speech rhythm in Nigerian English, and scholars have differing views on its nature, ranging from being syllable‐timed to tone‐timed. Apart from the fact that the majority of few available studies were conducted more than a decade ago, the exact nature of speech rhythm in Nigerian English remains contentious ...
Folajimi Oyebola, Osemudiamhe Ilekura
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Paradigmatic and syntagmatic effects of information status on prosodic prominence - evidence from an interactive web-based production experiment in German. [PDF]
Lorenzen J, Roessig S, Baumann S.
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The impact of speaker accent on discourse processing: a frequency investigation
Thomas T, Martin CD, Caffarra S.
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The predictive function of Swedish word accents. [PDF]
Roll M.
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Introduction to the special issue on Nigerian English
Abstract This article introduces this special issue of World Englishes devoted to Nigerian English. It outlines the significance of this special issue (and of Nigerian English) within global Englishes scholarship. It situates Nigerian English as one of the most demographically, functionally and intellectually important postcolonial varieties of English,
Kingsley O. Ugwuanyi
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Boosting or inhibiting - how semantic-pragmatic and syntactic cues affect prosodic prominence relations in German. [PDF]
Baumann S, Lorenzen J.
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Use of Automation Technologies and Data Mining in Speech Recognition for Autism
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
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