Learning the morphology of Zulu with different degrees of supervision

Spiegler Sebastian, Golenia Bruno, Shalonova Ksenia, Peter Flach, Tucker Roger

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

8 Citations (Scopus)


In this paper we compare different levels of supervision for learning the morphology of the indigenous South African language Zulu. After a preliminary analysis of the Zulu data used for our experiments, we concentrate on supervised, semi-supervised and unsupervised approaches comparing strengths and weaknesses of each method. The challenges we face are limited data availability and data sparsity in connection with morphological analysis of indigenous languages. At the end of the paper we draw conclusions for our future work towards a morphological analyzer for Zulu.
Translated title of the contributionLearning the morphology of Zulu with different degrees of supervision
Original languageEnglish
Title of host publicationSpoken Language Technology Workshop, 2008
Publication statusPublished - 2008

Bibliographical note

ISBN: 9781424434718
Publisher: IEEE
Name and Venue of Conference: Spoken Language Technology Workshop, 2008. SLT 2008. IEEE
Other identifier: 2000994


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