2001 UnsupervisedLearningoftheMorpho

• (Goldsmith, 2001) ⇒ John Goldsmith. (2001). "Unsupervised Learning of the Morphology of a Natural Language". In: Computational Linguistics Journal, 27(2). doi:10.1162/089120101750300490

Subject Headings: Morphological Analysis Task, Morphological Analysis System, Morphological Analysis Algorithm.

Cited By

• http://scholar.google.com/scholar?q=%222001%22+Unsupervised+Learning+of+the+Morphology+of+a+Natural+Language
• http://dl.acm.org/citation.cfm?id=972667.972668&preflayout=flat#citedby

Quotes

Abstract

This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora ranging in size from 5,000 words to 500,000 words. We develop a set of heuristics that rapidly develop a probabilistic morphological grammar, and use MDL as our primary tool to determine whether the modifications proposed by the heuristics will be adopted or not. The resulting grammar matches well the analysis that would be developed by a human morphologist.In the final section, we discuss the relationship of this style of MDL grammatical analysis to the notion of evaluation metric in early generative grammar.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2001 UnsupervisedLearningoftheMorpho	John Goldsmith			Unsupervised Learning of the Morphology of a Natural Language				10.1162/089120101750300490		2001