<?xml version="1.0" standalone="yes"?>
<Paper uid="W03-1120">
  <Title>Cross-Language Information Retrieval Based on Category Matching Between Language Versions of a Web Directory</Title>
  <Section position="7" start_page="0" end_page="0" type="concl">
    <SectionTitle>
6 Conclusions
</SectionTitle>
    <Paragraph position="0"> In this paper, we proposed a method using a Web directory for CLIR. The proposed method is independent of a particular domain because it uses documents in a Web directory as the corpus. Our method is particularly effective for the case that the document collection covers wide range of domains such as the Web. Besides, our method does not require expensive linguistic resources except for a dictionary. Therefore, our method can easily be extended to other languages as long as the language versions of a Web directory exist and the dictionary can be obtained.</Paragraph>
    <Paragraph position="1"> Future work includes improving the category matching method and the evaluation of retrieval effectiveness. null</Paragraph>
  </Section>
class="xml-element"></Paper>