A Chinese Interactive Feedback System for an e-Learning Website

نویسندگان

  • Jui-Fa Chen
  • Wei-Chuan Lin
  • Chih-Yu Jian
  • Ching-Chung Hung
چکیده

Considering the popularity of the Internet, an automatic interactive feedback system for e-learning websites is becoming increasingly desirable. However, there are still some problems for computers to understand the natural language, especially the Chinese language. First, because the Chinese language has no space to segment the lexical entry, its segmentation method is more difficult than that of English. Second, the lack of complete grammar for Chinese language makes parsing more difficult and complicated. Building an automatic Chinese feedback system for special application domains could solve these problems. In this paper, an interactive mechanism is proposed to parse, understand and response to a Chinese sentence. This mechanism utilizes a specific lexical database according to the particular application. In this way, a Chinese interactive feedback e-learning website is built for a special application domain that will choose the proper response in a user friendly, accurate and timely manner.

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عنوان ژورنال:
  • J. Inf. Sci. Eng.

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2005