Learning the morphology of Zulu with different degrees of supervision

Learning the morphology of Zulu with different degrees of supervision
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通过不同程度的监督学习祖鲁语的形态

DOI:
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发表时间:
2008
期刊:
2008 IEEE Spoken Language Technology Workshop
影响因子:
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通讯作者:
R. Tucker
R. Tucker
中科院分区:
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文献类型:
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作者:
Sebastian Spiegler;B. Golénia;Kseniya B. Shalonova;Peter A. Flach;R. Tucker

文献摘要

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在本文中,我们比较不同层次的监督学习的土著南非语言祖鲁语的形态。在对用于我们实验的Zulu数据进行初步分析之后,我们专注于监督,半监督和无监督方法,比较每种方法的优缺点。我们面临的挑战是有限的数据可用性和数据稀疏与土著语言的形态分析。在论文的最后,我们得出结论,我们未来的工作对祖鲁语的形态分析仪。
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.