CCAE commited on
Commit
01aa573
1 Parent(s): c2d893c

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -11
README.md CHANGED
@@ -9,27 +9,20 @@ pretty_name: Colorful Candies Are Exciting
9
  size_categories:
10
  - 100K<n<1M
11
  ---
12
- # Dataset Card for Dataset Name
13
 
14
  ## Dataset Description
15
 
16
- - **Homepage:**
17
- - **Repository:**
18
  - **Paper:**
19
- - **Leaderboard:**
20
- - **Point of Contact:**
21
 
22
  ### Dataset Summary
23
 
24
- This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
25
-
26
- ### Supported Tasks and Leaderboards
27
-
28
- [More Information Needed]
29
 
30
  ### Languages
31
 
32
- [More Information Needed]
33
 
34
  ## Dataset Structure
35
 
 
9
  size_categories:
10
  - 100K<n<1M
11
  ---
12
+ # CCAE: A Corpus of Chinese-based Asian Englishes
13
 
14
  ## Dataset Description
15
 
16
+ - **Repository:** https://github.com/jacklanda/CCAE
 
17
  - **Paper:**
 
 
18
 
19
  ### Dataset Summary
20
 
21
+ 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 varietyspecific 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.
 
 
 
 
22
 
23
  ### Languages
24
 
25
+ Six varieties in asian areas of English: CHE, HKE, MCE, TWE, MYE, SGE
26
 
27
  ## Dataset Structure
28