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