CCAE: A Corpus of Chinese-based Asian Englishes
Yang Liu Melissa Xiaohui Qin Long Wang Chao Huang
Language models have been foundations in various scenarios of NLP
applications, but it has not been well applied in language variety studies,
even for the most popular language like English. This paper represents one of
the few initial efforts to utilize the NLP technology in the paradigm of World
Englishes, specifically in creating a multi-variety corpus for studying Asian
Englishes. We present an overview of the CCAE -- Corpus of Chinese-based Asian
English, a suite of corpora comprising six Chinese-based Asian English
varieties. It is based on 340 million tokens in 448 thousand web documents from
six regions. The ontology of data would make the corpus a helpful resource with
enormous research potential for Asian Englishes (especially for Chinese
Englishes for which there has not been a publicly accessible corpus yet so far)
and an ideal source for variety-specific language modeling and downstream
tasks, thus setting the stage for NLP-based World Englishes studies. And
preliminary experiments on this corpus reveal the practical value of CCAE.
Finally, we make CCAE available at
\href{https://huggingface.co/datasets/CCAE/CCAE-Corpus}{this https URL}.