Browsing Faculty of Engineering by Subject "Unsupervised machine learning"
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Towards an unsupervised morphological segmenter for isiXhosa
(IEEE, 2019)In this paper, branching entropy techniques and isiXhosa language heuristics are adapted to develop unsupervised morphological segmenters for isiXhosa. An overview of isiXhosa segmentation issues is given, followed by ...