BASED ON CONDITIONAL RANDOM FIELDS FOR KAZAKH LEXICAL EMOTION RECOGNITION

摘要：

A Kazakh words emotion feature tagging method based on CRFs model is brought forwards in this article. It solves the machinery identification problem of Kazakh words emotion feature by utilization of the CRFs model, who has the features of abundant information acquirement and strong reasoning ability. This is of much utility value to the Kazakh language corpus construction.

关键词： Kazakh language emotion feature conditional random fields (CRFs)

作者: Xiaoli Wang Gulila.Altenbek

作者单位: Information Science and Engineering colleges,XinJiang University,Ulmqi,XinJiang,P.R.China

会议类型: 国际会议

会议名称: 2008年拟人系统国际会议(2008 International Conference on Humanized Systems )(ICHS’08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-18（万方平台首次上网日期，不代表论文的发表时间）