From text to exhibitions: a new approach for E-learning on language and literature based on text mining

  • Authors:
  • Qiaozhu Mei;Jungeng Hu

  • Affiliations:
  • Vanderbilt University, Nashville, TN;Peking University, Beijing, China

  • Venue:
  • eLearn '04 Proceedings of the Workshop on eLearning for Computational Linguistics and Computational Linguistics for eLearning
  • Year:
  • 2004

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Abstract

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 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.