Induction of the Morphology of Natural Language : Unsupervised Morpheme Segmentation with Application to Automatic Speech Recognition

@inproceedings{Creutz2006InductionOT,
  title={Induction of the Morphology of Natural Language : Unsupervised Morpheme Segmentation with Application to Automatic Speech Recognition},
  author={Mathias Creutz},
  year={2006}
}
Frequent itemsets are one of the best known concepts in data mining, and there is active research in itemset mining algorithms. An itemset is frequent in a database if its items cooccur in sufficiently many records. This thesis addresses two questions related to frequent itemsets. The first question is raised by a method for approximating logical queries by an inclusion-exclusion sum truncated to the terms corresponding to the frequent itemsets: how good are the approximations thereby obtained… CONTINUE READING
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