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Journal Article

Unsupervised learning of morphology

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons72724

Hammarström,  Harald
Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;
Radboud University Nijmegen;

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Fulltext (public)

Hammarstroem_coli_a_00050.pdf
(Publisher version), 241KB

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Citation

Hammarström, H., & Borin, L. (2011). Unsupervised learning of morphology. Computational Linguistics, 37(2), 309-350. doi:10.1162/COLI_a_00050.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-78DB-2
Abstract
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 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.