Corpus ID: 62758812

Improving morphology induction by learning spelling rules

@inproceedings{Naradowsky2009ImprovingMI,
  title={Improving morphology induction by learning spelling rules},
  author={Jason Naradowsky and S. Goldwater},
  booktitle={IJCAI 2009},
  year={2009}
}
Unsupervised learning of morphology is an important task for human learners and in natural language processing systems. Previous systems focus on segmenting words into substrings (taking ⇒ tak.ing), but sometimes a segmentation-only analysis is insufficient (e.g., taking may be more appropriately analyzed as take+ing, with a spelling rule accounting for the deletion of the stem-final e). In this paper, we develop a Bayesian model for simultaneously inducing both morphology and spelling rules… Expand
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