文章基本信息

标题：Unsupervised Learning of Morphology
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作者：Harald Hammarström ; Lars Borin
期刊名称：Computational Linguistics
印刷版ISSN：0891-2017
电子版ISSN：1530-9312
出版年度：2011
卷号：37
期号：2
页码：309-350
DOI：10.1162/COLI_a_00050
语种：English
出版社：MIT Press
摘要：This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of Morphology as the problem of inducing a description (of some kind, even if only morpheme-segmentation) of how orthographic words are built up given only raw text data of a language. We briefly go through the history and motivation of the this problem. Next, over 200 items of work are listed with a brief characterization, and the most important ideas in the field are critically discussed. We summarize the achievements so far and give pointers for future developments.