NCHLT Tshivenḓa GloVe embeddings
Title | NCHLT Tshivenḓa GloVe embeddings |
Description | Static word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations for Tshivenḓa 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) | Tshivenḓa |
Author(s) | Roald Eiselen |
Contributor | Rico Koen; Albertus Kruger; Jacques van Heerden |
URI | https://hdl.handle.net/20.500.12185/608 |
Media type | Text |
Type | Modules |
Media category | Word embeddings |
Format extent | Training data: Paragraphs: 304,248; Token count: 7,363,713; Vocab size: 27,037; Embedding dimensions: 500; |
Format size | 47.82MB (Zipped) |
Project | NCHLT Text IV |
Software requirements | Python |
Source | Web; Government Documents |
ISO639 code | ve |
Submit date | 2023-07-26T15:30:52Z; 2023-05-01 |
Date available | 2023-07-26T15:30:52Z; 2023-05-01 |
Date created | 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.