Translation of Text into Iconic Expressions to Support Reading Enhanced by Related Web Pages

نویسندگان

  • Kumiko Fujisawa
  • Kenro Aihara
چکیده

Active utilization of museums has attracted attention over the years from the perspective of lifelong learning. However, museum users have various interests and degrees of knowledge. We propose a system of translating explanatory texts about museum collections into iconic expressions by linking the texts to the museum website contents. In this system, the text is selected based on the users’ previous web access. We introduce a basic structure of our prototype system, and explain the function of expression part by showing the sample in which an actual webpage is used. We plan to investigate this system’s effect on the museum users.

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تاریخ انتشار 2008