The YouTube corpus of Singapore English podcasts

Dados Bibliográficos

ID7153100
AutoresSteven Coat (0000-0002-7295-3893, University of Duisburg-Essen, autor correspondente), Carmelo Alessandro Basile (0000-0002-6004-203X, Université Sorbonne Nouvelle), C Morin (0000-0001-7079-449X, Paris-Cité University), Robert Fuchs (0000-0001-7694-062X, University of Bonn)
Ano2025
Volume46
Fascículo3
Páginas274-298
Data de publicação2025-12-04
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnglish World-Wide A Journal of Varieties of English (JOURNAL)
Identificadores do periódicoISSN: 0172-8865 • E-ISSN: 1569-9730
EditoraJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/eww.25018.coa
OpenAlexW4414145782
IdiomaEN
Referências citadas68

Recent advances in streaming protocols and automatic speech recognition (ASR) have enabled large-scale spoken language corpora, yet research on Singapore English remains constrained by small or text-based datasets. The YouTube Corpus of Singapore English Podcasts (YCSEP) addresses this gap with 620 hours of transcribed, diarized speech from over 1,300 podcast episodes by Singapore-based content creators. YCSEP supports the empirical analysis of phonetics, morphosyntax, and discourse, enabling the study of low-frequency features like discourse particles and reduplication. The dataset reflects informal, spontaneous speech from diverse speakers and facilitates investigation into nativization and endonormative stabilization processes in postcolonial English. Built using a pipeline of yt-dlp, WhisperX, and Pyannote, YCSEP offers robust empirical grounding for linguistic features such as verb complementation and modality. It also contributes to broader theoretical discussions on areal norms and construction grammar in World Englishes

British English · British National Corpus · Corpus linguistics · Empirical research · English grammar · Grammar · Linguistic Variation and Morphology · Multilingual Education and Policy · Phonetics and Phonology Research