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NCHLT Tshivenḓa fastText-CBoW 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.accessioned2023-07-28T08:02:42Z
dc.date.accessioned2023-05-01
dc.date.available2023-07-28T08:02:42Z
dc.date.available2023-05-01
dc.date.issued2023-05-01
dc.descriptionStatic 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 Tshivenḓa text.
dc.format.extentTraining data: Paragraphs: 304,248; Token count: 7,363,713; Vocab size: 27,037; Embedding dimensions: 600;
dc.format.size1.14GB (Zipped)
dc.identifier.urihttps://hdl.handle.net/20.500.12185/593
dc.language.isove
dc.languagesTshivenḓa
dc.media.categoryString 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 Tshivenḓa fastText-CBoW embeddings
dc.typeModules

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