Unsupervised Learning of the Morphology of a Natural Language

@article{Goldsmith2001UnsupervisedLO,
  title={Unsupervised Learning of the Morphology of a Natural Language},
  author={J. Goldsmith},
  journal={Computational Linguistics},
  year={2001},
  volume={27},
  pages={153-198}
}
  • J. Goldsmith
  • Published 2001
  • Computer Science
  • Computational Linguistics
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… Expand
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