Logo Lanfrica

NCHLT Siswati word2vec-Skipgram embeddings

Domaine:

natural language processing

Type de record:

model
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 Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013). The embedding provides real-valued vector representations for Siswati text.