%A Sun Haixia, Li Junlian, Wu Yingjie, Wu Suhui %T The Study on Out-of-vocabulary Identification of Chinese Biomedical Field Based on Hybrid Method %0 Journal Article %D 2013 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2013.01.03 %P 15-21 %V 29 %N 1 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3674.shtml} %8 2013-01-25 %X First, the status of research on out-of-vocabulary automatic identification is introduced briefly. Then,combining the word length distribution and morphological characteristics of Chinese biomedical field, this paper presents an hybrid method of out-of-vocabulary identification of Chinese biomedical field, which is based on N-gram, integrating the methods of the field dictionary-based, filtered corpus-based, and rules-based. Finally, on a sample set of pharmaceutical journals data of Chinese BioMedical Literature Database, the authors make an experiment of the proposed hybrid method, and the experimental results achieve a good performance.