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mkeet/MeMaT

Domaine:

natural language processing

Type de record:

dataset
Créateur:
mke
Hôte:
corpus data for an isiXhosa - English parallel corpus # MeMaT Corpus data for an isiXhosa - English parallel corpus. The text and (partial) alignment has been collected, aligned, and manually translated as part of the Medical Machine Translation (MeMaT) project. The MeMaT project was a collaboration with the University of Cape Town, South Africa, and the University of Edinburgh, UK, and funded by the EPSRC, UK (WT5518939), for 7 months in 2017-2018. ###### People UoE: Kenneth Heafield, Alexandra Birch, Proyag Pal. UCT: Maria Keet, Zola Mahlaza. The professional translator was Ntombi Kwebulana ###### Use and reuse The data is available under a CC-BY licence, unless specified differently (e.g., the mobile-xhosa data has the stricter CC NC-SA licence).