NCHLT Tshivenḓa word2vec-CBOW embeddings
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By downloading this resource I accept and agree to the terms of use and the associated license conditions under which the resource is distributed.
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Author(s)
Roald Eiselen
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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.
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Roald EiselenContact person's e-mail address
Roald.Eiselen@nwu.ac.zaPublisher(s)
North-West University; Centre for Text Technology (CTexT)