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<Paper uid="E06-1034">
  <Title>From detecting errors to automatically correcting them</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Faced with the problem of annotation errors in part-of-speech (POS) annotated corpora, we develop a method for automatically correcting such errors. Building on top of a successful error detection method, wefirsttry correcting acorpus using two off-the-shelf POS taggers, based on the idea that they enforce consistency; with this, we find some improvement. After some discussion of the tagging process, we alter the tagging model to better account for problematic tagging distinctions.</Paragraph>
    <Paragraph position="1"> This modification results in significantly improved performance, reducing the error rate of the corpus.</Paragraph>
  </Section>
class="xml-element"></Paper>