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

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. © Springer-Verlag Berlin Heidelberg 2007.