NCHLT Sepedi word2vec-CBOW embeddings
| Title | NCHLT Sepedi word2vec-CBOW embeddings |
| Description | Static word embeddings for the continuous bag of words (CBoW) flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector representations for Sepedi text. |
| Contact name | Roald Eiselen |
| Contact email | Roald.Eiselen@nwu.ac.za |
| Publisher(s) | North-West University; Centre for Text Technology (CTexT) |
| License | Creative Commons Attribution 4.0 International (CC-BY 4.0) |
| Language(s) | Sepedi |
| Author(s) | Roald Eiselen |
| Contributor | Rico Koen; Albertus Kruger; Jacques van Heerden |
| URI | https://hdl.handle.net/20.500.12185/623 |
| Media type | Text |
| Type | Modules |
| Media category | Word embeddings |
| Format extent | Training data: Paragraphs: 292,594; Token count: 8,908,709; Vocab size: 24,691; Embedding dimensions: 600; |
| Format size | 53.68MB (Zipped) |
| Project | NCHLT Text IV |
| Software requirements | Python |
| Source | Web; Government Documents |
| ISO639 code | nso |
| Submit date | 2023-07-26T15:49:44Z; 2023-05-01 |
| Date available | 2023-07-26T15:49:44Z; 2023-05-01 |
| Date created | 2023-05-01 |
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