2017 ComputationalLearningofMorpholo

• (Goldsmith et al., 2017) ⇒ John A. Goldsmith, Jackson L. Lee, and Aris Xanthos. (2017). “Computational Learning of Morphology.” In: Annual Review of Linguistics Journal, 3. doi:10.1146/annurev-linguistics-011516-034017

Subject Headings: Morphological Analysis Task; Morphological Analysis System; Morphological Analysis Algorithm, Natural Language Training System.

Cited By

• http://scholar.google.com/scholar?q=%222017%22+Computational+Learning+of+Morphology

Quotes

Author Keywords

• Morphology; Unsupervised Learning; Language Induction; Grammar Induction; Minimum Description Length; Adaptor Grammars; Gibbs Sampling

Abstract

This article reviews research on the unsupervised learning of morphology, that is, the induction of morphological knowledge with no prior knowledge of the language beyond the training texts. This is an area of considerable activity over the period from the mid 1990s to the present. It is of particular interest to linguistics because it provides a good example of a domain in which complex structures must be induced by the language learner, and successes in this area have all relied on quantitative models that in various ways focus on model complexity and on goodness of fit to the data.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2017 ComputationalLearningofMorpholo	John A. Goldsmith Jackson L. Lee Aris Xanthos			Computational Learning of Morphology				10.1146/annurev-linguistics-011516-034017		2017