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<Paper uid="P01-1053">
  <Title>Automatic Detection of Syllable Boundaries Combining the Advantages of Treebank and Bracketed Corpora Training</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> An approach to automatic detection of syllable boundaries is presented. We demonstrate the use of several manually constructed grammars trained with a novel algorithm combining the advantages of treebank and bracketed corpora training. We investigate the effect of the training corpus size on the performance of our system. The evaluation shows that a hand-written grammar performs better on finding syllable boundaries than does a treebank grammar.</Paragraph>
  </Section>
class="xml-element"></Paper>