Design and implementation of a cooperative editing system based on natural language processing

  • Authors:
  • Shaoyong Yu;Shaozi Li;Donglin Cao

  • Affiliations:
  • Institute of Artificial Intelligence, Xiamen University, Xiamen, P.R. China;Institute of Artificial Intelligence, Xiamen University, Xiamen, P.R. China;Institute of Artificial Intelligence, Xiamen University, Xiamen, P.R. China

  • Venue:
  • CSCWD'06 Proceedings of the 10th international conference on Computer supported cooperative work in design III
  • Year:
  • 2006

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Abstract

As collaborative editing systems are becoming more and more prevalent, new requirements on collaboration are raised by users. This paper presents a novel editing system based on natural language processing, which has been used in Chinese language teaching. The proposed approach has addressed a number of problems existed in textbook editing, e.g., in order to improve the speed and accuracy of automatic phonetic notation, a method of Chinese text segmentation has been proposed; corpus retrieval is applied in the system for selection of suitable sample sentences for new words; also, in order to control the amount and recurrence rate of new words, a method of cross-text search and computing is adopted. The feedback of users has indicated that the system indeed reduces the time spent in editing collaboration.