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.
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Yu, S., Li, S., Cao, D. (2007). Design and Implementation of a Cooperative Editing System Based on Natural Language Processing. In: Shen, W., Luo, J., Lin, Z., Barthès, JP.A., Hao, Q. (eds) Computer Supported Cooperative Work in Design III. CSCWD 2006. Lecture Notes in Computer Science, vol 4402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72863-4_72
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DOI: https://doi.org/10.1007/978-3-540-72863-4_72
Publisher Name: Springer, Berlin, Heidelberg
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