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Computational Linguistics

Hwee Tou Ng, Editor
June 2011, Vol. 37, No. 2, Pages 309-350
(doi: 10.1162/COLI_a_00050)
© 2011 Association for Computational Linguistics
Unsupervised Learning of Morphology
Article PDF (247.88 KB)

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.