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<Paper uid="C04-1066">
  <Title>Japanese Unknown Word Identification by Character-based Chunking</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> We introduce a character-based chunking for unknown word identification in Japanese text. A major advantage of our method is an ability to detect low frequency unknown words of unrestricted character type patterns. The method is built upon SVM-based chunking, by use of character n-gram and surrounding context of n-best word segmentation candidates from statistical morphological analysis as features.</Paragraph>
    <Paragraph position="1"> It is applied to newspapers and patent texts, achieving 95% precision and 55-70% recall for newspapers and more than 85% precision for patent texts.</Paragraph>
  </Section>
class="xml-element"></Paper>