The YouTube corpus of Singapore English podcasts

Datos Bibliográficos

ID7153100
AutoresSteven Coat (0000-0002-7295-3893, University of Duisburg-Essen, autor de correspondencia), 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)
Año2025
Volumen46
Número3
Páginas274-298
Fecha de publicación2025-12-04
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaEnglish World-Wide A Journal of Varieties of English (JOURNAL)
Identificadores de la revistaISSN: 0172-8865 • E-ISSN: 1569-9730
EditorialJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/eww.25018.coa
OpenAlexW4414145782
IdiomaEN
Referencias 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