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<Paper uid="I05-2033">
  <Title>POS tagger combinations on Hungarian text</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> In this paper we will brie y survey the key results achieved so far in Hungarian POS tagging and show how classi er combination techniques can aid the POS taggers.</Paragraph>
    <Paragraph position="1"> Methods are evaluated on a manually annotated corpus containing 1.2 million words. POS tagger tests were performed on single-domain, multiple domain and cross-domain test settings, and, to improve the accuracy of the taggers, various combination rules were implemented.</Paragraph>
    <Paragraph position="2"> The results indicate that combination schemas (like the Boosting algorithm) are promising tools which can signi cantly degrade the classication errors, and produce a more e ective tagger application.</Paragraph>
  </Section>
class="xml-element"></Paper>