A Computer-Aided Chinese Reading System Based on Analysis Unit of Characters
Gang Zou · 2008
As one of the important research topics,computer-aided Chinese learning is attracting more and more interest in natural language processing society.A computer-aided reading and learning system based on analysis unit of characters is proposed to provide reading and learning assistant for Chinese learner in this paper.The system first employs character-based Chinese morphological analysis for segmenting Chinese texts into words,and then presents a method based on structure information of constituent characters for new word finding.For unknown words unregistered in the dictionary(such as: technical terms,proper nouns and fixed phrases),a method based on semantic prediction and feedback learning is proposed to mine their native translations from the Web.For frequent words,real-time translation display is implemented by the Chinese-English(Chinese-Japanese) dictionary database,and users can also obtain typical examples of this word usage through a word usage retrieval module.In this system,key technologies include: morphological analysis based on character information,word segmentation based on structure information of constituent characters,and translation acquisition of new words based on semantic prediction and feedback learning.A character analysis unit is the core of all proposed methods used in the whole system.Experiments show that our system has good performance in every aspect.