Maximum Entropy Tiered Tagging

  title={Maximum Entropy Tiered Tagging},
  author={Alexandru Ceausu},
Data sparseness in tagging highly inflectional languages with large tagsets and scarce training resources is a problem that cannot be addressed using only common tagging techniques. Tiered tagging is a two-stage technique that uses for tagging a smaller ”hidden” tagset and, in the second phase, recovers the original tagset using a lexicon and a set of hand-written rules. The recovering is possible only for the words contained in the lexicon. The paper describes an experiment that shows how the… CONTINUE READING
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