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<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="6" start_page="0" end_page="0" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> Computer-based education on language and literature has both its advantage and difficulty. On one hand it provides learners with abundant relating materials, on the other hand it's tedious and difficult for learners to acquire knowledge in the sea of information. The approach of extracting objects from texts, and integrating them to build an interactive and vivid exhibitions enables learners both to explore in broad scope of knowledge and to enjoy exciting and comprehensible learning.</Paragraph>
    <Paragraph position="1"> Computer techniques are adopted in the framework of Digital Museums to maximize its educational use. How to make use of the methods from computational linguistics, especially statistical methods is the bottleneck or the key to success of this e-learning approach. On the other hand, the needs of e-learning and the abstracting of digital exhibitions from texts have very positive effect on pushing the research of computational linguistics.</Paragraph>
    <Paragraph position="2"> Significant techniques include unknown word discovery, clustering and other issues in text mining. Besides the conituous work on text mining, future research will focus on how to personalize the learning paths of learners, and enable in-time processing of user feedbacks. Investigations and evaluations will be made both on the e-learning system and the efficiency of text mining techniques over typical kinds of texts, like Chinese ancient poetry.</Paragraph>
  </Section>
class="xml-element"></Paper>