From Text To Exhibitions: A New Approach For E-Learning On Language And Literature Based On Text Mining

نویسندگان

  • Qiaozhu Mei
  • Junfeng Hu
چکیده

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. In traditional learning frameworks learners would easily get boring with mass pure texts. This article introduces a new approach for ELearning 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.

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تاریخ انتشار 2004