POS annotated corpus with 5 different text types for isiZulu
Domain:
natural language processingRecord type:
dataset
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This is a POS annotated corpus with 5 different text types for isiZulu.
The text types included are:
- CAPS gr12 (Academic) - education.gov.za)Examinations.aspx;
- PhD Theses (Academic) - for isiZulu researchspace.ukzn.ac.za, for Sepedi repository.up.ac.za;
- Magazines (Non-Academic) - CTexT acquired data from Pula Imvula;
- News (Non-Academic) - for isiZulu Isolezwe content sourced from Leipzig corpus, for Sepedi CTexT acquired data;
- Novels (Fiction) - SADiLaR acquired data from OUP and Shuter and Shooter.
For isiZulu, the data was annotated with the Core Tech POS tagger developed during SADiLaR II.
The data is given as txt files where each line contains a token and the corresponding POS tag, tab separated.
Each text type data file contains approximately 5,000 tokens, amounting to a total of 25,000 tokens per languages. Please see the protocol for more details on the POS tags used.
Contents: isiZulu CAPS gr12 - 3,634 tokens, isiZulu PhD Theses - 5,716 tokens, isiZulu Magazines - 3,658, isiZulu News - 5,974 tokens, isiZulu Novels - 5,909 tokens. Total 21,233 tokens.