语言结构词性流量的冲量过程  

The Pulse Process Model of Rate of Natural Language Lexical Category Flow

作　　者：徐芃[1] 熊健[2] 范金宇[2] 

机构地区：[1]广州大学心理辅导中心,广东广州510006 [2]广州大学经济与统计学院,广东广州510006

出　　处：《数理统计与管理》2013年第4期685-698,共14页Journal of Applied Statistics and Management

基　　金：教育部人文社会科学研究规划项目(11YJAZH106)

摘　　要：基于最大语言结构信息熵构想,运用随机抽取的219份样本进行检验,计算出实际样本最理想语言结构信息熵,建构语言结构冲量过程模型,得到语言结构冲量过程稳定性诊断原则,并对6个不稳定样本进行训练与改进。在实际的心理状态诊断和干预中,通过改变语言结构系统中的向量脉冲量,可以促使个体的心理状态发生变化,从而帮助个体适应变化的情境。Base on the conception of maximum natural language structural information entropy and 219 sample date sets, we figured out the reality structural information entropy. We discovered the language structure pulse process model and got diagnosis principles about pulse process stability. 6 unstable samples were found and trained to improvement. In the practical application of to diagnose and intervene individuality mental state, we may change the vector pulse to impel some variety of personality state, which would help people to adapt metabolic circumstance.

关 键 词：语言结构 词性流量 冲量过程 

分 类 号：O212[理学—概率论与数理统计]