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2014 | 2 | 163--169
Tytuł artykułu

Ladder Tagger-Splitting Decision Space to Boost Tagging Quality

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This paper describes a part of speech tagger. The tagger is based on a set of probability mixture models. Each mixture model is responsible for tagging of a specific class of words, sharing similar context properties. Probability mixture models contain 25 various mixture components. The tagger is tested on polish language and compared to other available taggers.(original abstract)
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  • Wrocław University of Technology
  • Wrocław University of Technology
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