NCHLT Sepedi GloVe embeddings
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| dc.contact.email | Roald.Eiselen@nwu.ac.za | |
| dc.contact.name | Roald Eiselen | |
| dc.contributor.author | Roald Eiselen | |
| dc.contributor.other | Rico Koen | |
| dc.contributor.other | Albertus Kruger | |
| dc.contributor.other | Jacques van Heerden | |
| dc.date.accessioned | 2023-07-28T08:11:07Z | |
| dc.date.accessioned | 2023-05-01 | |
| dc.date.available | 2023-07-28T08:11:07Z | |
| dc.date.available | 2023-05-01 | |
| dc.date.issued | 2023-05-01 | |
| dc.description | Static word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations for Sepedi text. | |
| dc.format.extent | Training data: Paragraphs: 292,594; Token count: 8,908,709; Vocab size: 39,346; Embedding dimensions: 400; | |
| dc.format.size | 55.89MB (Zipped) | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12185/628 | |
| dc.language.iso | nso | |
| dc.languages | Sepedi | |
| dc.media.category | Word embeddings | |
| dc.media.type | Text | |
| dc.project | NCHLT Text IV | |
| dc.publisher | North-West University; Centre for Text Technology (CTexT) | |
| dc.rights.license | Creative Commons Attribution 4.0 International (CC-BY 4.0) | |
| dc.software.requirements | Python | |
| dc.source | Web | |
| dc.source | Government Documents | |
| dc.title | NCHLT Sepedi GloVe embeddings | |
| dc.type | Modules |
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