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NCHLT isiNdebele GloVe embeddings

dc.contact.emailRoald.Eiselen@nwu.ac.za
dc.contact.nameRoald Eiselen
dc.contributor.authorRoald Eiselen
dc.contributor.otherRico Koen
dc.contributor.otherAlbertus Kruger
dc.contributor.otherJacques van Heerden
dc.date.accessioned2023-07-28T08:11:06Z
dc.date.accessioned2023-05-01
dc.date.available2023-07-28T08:11:06Z
dc.date.available2023-05-01
dc.date.issued2023-05-01
dc.descriptionStatic word embedding model based on the Global Vectors architecture (Pennington et al., 2014). The embeddings provide real-valued vector representations for isiNdebele text.
dc.format.extentTraining data: Paragraphs: 247,926; Token count: 3,633,845; Vocab size: 155,888; Embedding dimensions: 300;
dc.format.size164.62MB (Zipped)
dc.identifier.urihttps://hdl.handle.net/20.500.12185/627
dc.language.isonr
dc.languagesisiNdebele
dc.media.categoryWord embeddings
dc.media.typeText
dc.projectNCHLT Text IV
dc.publisherNorth-West University; Centre for Text Technology (CTexT)
dc.rights.licenseCreative Commons Attribution 4.0 International (CC-BY 4.0)
dc.software.requirementsPython
dc.sourceWeb
dc.sourceGovernment Documents
dc.titleNCHLT isiNdebele GloVe embeddings
dc.typeModules

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