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NCHLT Setswana fastText-CBoW embeddings
Static word and subword embeddings for the continuous bag of words (CBoW) flavour of the fastText architecture (Bojanowski et al., 2017). The embedding provides real-valued vector representations for Setswana text.
Roald Eiselen
Roald.Eiselen@nwu.ac.za
North-West University; Centre for Text Technology (CTexT)
Creative Commons Attribution 4.0 International (CC-BY 4.0)
Setswana
Roald Eiselen
Rico Koen; Albertus Kruger; Jacques van Heerden
https://hdl.handle.net/20.500.12185/591
Text
Modules
String embeddings
Training data: Paragraphs: 515,961; Token count: 14,518,437; Vocab size: 52,155; Embedding dimensions: 600;
1.06GB (Zipped)
NCHLT Text IV
Python
Web; Government Documents
tn
2023-07-28T08:02:13Z; 2023-05-01
2023-07-28T08:02:13Z; 2023-05-01
2023-05-01


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    A collection of language resources available for download from the RMA of SADiLaR. The collection mostly consists of resources developed with funding from the Department of Arts and Culture.

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