%A Zhao Yan, Chen Heng %T A Method to Improve Accuracy of Automatic Indexing for Chinese-English Mixed Text %0 Journal Article %D 2012 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2012.06.06 %P 36-42 %V 28 %N 6 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3579.shtml} %8 2012-06-25 %X This paper elaborates the inherent characteristics of the Chinese-English mixed text in the field of life sciences. On basis of the cybernetic principle, a new integrated indexing control method, which is conducted to improve the accuracy of automatic indexing for Chinese-English mixed text, is proposed in this paper. The method includes three relatively independent and interdependent parts, which are feed-forward control, in-progress control, and feed-back control. Subsequently, the three parts and their integrated application effectiveness for improving the indexing accuracy are introduced in detail. Experimental results show that the proposed new method is successfully applied in indexing of the literature and knowledge database for Hepatitis B subject and the information indexing accuracy is greatly improved.