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<?xml version="1.0" standalone="yes"?>
<Paper uid="W04-1713">
  <Title>From Text to Exhibitions: A New Approach for E-Learning on Language and Literature based on Text Mining</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> Unlike many well established approaches for E-Learning on science fields, there isn't a commonly accepted approach of E-Learning on humanities fields, especially language and literature. Because the knowledge on language and literature depends too much on texts, advanced text processing has become a bottleneck for E-Learning on these domains.</Paragraph>
    <Paragraph position="1"> In traditional learning frameworks learners would easily get boring with mass pure texts.</Paragraph>
    <Paragraph position="2"> This article introduces a new approach for E-Learning on language and literature, by intelligently extracting real or virtual objects from texts and integrating them as exhibitions in a digital museum system. This article also discussed how to generate exhibitions from texts with computational linguistics methods as well as how this E-Learning framework pushes the research of computational linguistics. The discussion of E-Learning by Digital Museum is based on the design of Digital Museum of Chinese Ancient Poetry, by Peking University.</Paragraph>
  </Section>
class="xml-element"></Paper>
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