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NCHLT Tshivenḓa word2vec-CBOW embeddings

Domaine:

natural language processing

Type de record:

modeldataset
Créateur:
Roald Eiselen
Éditeur:
Rico KoenAlbertus KrugerJacques van Heerden
Éditeur:
North-West University - Centre for Text Technology (CTexT)
Hôte:avatar
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 Tshivenḓa text.

Visit

hdl.handle.net

Tasks

embeddings

Languages

Venda

Licenses

Creative Commons Attribution 4.0 International (CC-BY 4.0)

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