From tweets to trends: analyzing sociolinguistic variation and change using the Twitter Corpus of English in Hong Kong (TCOEHK)
Author:
Affiliation:
1. Department of English, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of China
Funder
The Chinese University of Hong Kong Faculty of Arts
Publisher
Informa UK Limited
Subject
Linguistics and Language,Language and Linguistics
Link
https://www.tandfonline.com/doi/pdf/10.1080/13488678.2023.2251771
Reference45 articles.
1. Anthony, L. (2022). AntConc (version 4.0.5). Tokyo, Japan: Waseda University.
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3. Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python. Sebastopol, CA: O’Reilly.
4. The sociolinguistics of Hong Kong and the space for Hong Kong English
5. brms: An R Package for Bayesian Multilevel Models Using Stan
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