加羊吉,李亚超,宗成庆,于洪志. 最大熵和条件随机场模型相融合的藏文人名识别[J]. 中文信息学报, 2014, 28(1): 107-112.
JIA Yangji,LI Yachao,ZONG Chengqing,YU Hongzhi. A Hybrid Approach to Tibetan Person Name Identification by Maximum Entropy Model and Conditional Random Fields. , 2014, 28(1): 107-112.
1. National Language Information Technology Laboratory, Nothwest University for Natonalities, Lanzhou, Gansu 730030, China; 2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Abstract：Tibetan person name recognition is one of the most difficult tasks in the area of Tibetan information processing, with a direct impact on the precision of Tibetan word segmentation. Based on the analysis of wording rules and features of Tibetan names, this paper proposes a method combining maximum entropy and conditional random fields to identify Tibetan person names. The experiment shows that this approach works significant well reaching 93.08% in F1-measure.