English and Chinese language frequency time series analysis  

作　　者：DENG WeiBing WANG DuJuan LI Wei WANG Qiuping Alexandre 

机构地区：[1]LUNAM UniversitY, ISMANS, Laboratoire de Physique Statistique et Systemes Complexes, 44, Ave. Bartholdi, 72000 Le Mans, France [2]Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, China [3]LUNAM UniversitY, Universite du Maine, LPEC, UMR CNRS 6087, 72085 Le Mans, France [4]Max-Planck-lnstitutefor Mathematics in the Sciences, Leipzig 04103, Germany

出　　处：《Chinese Science Bulletin》2011年第34期3717-3722,共6页

基　　金：supported by the National Natural Science Foundation of China (10647125, 10635020, 10975057 and 10975062);the Program of Introducing Talents of Discipline to Universities (B08033);the PHC CAI YUAN PEI Program (LIU JIN OU [2010] No. 6050) (2010008104)

摘　　要：<Abstract>English and Chinese language frequency time series (LFTS) were constructed based on an English and two Chinese novels. Methods of statistical hypothesis testing were adopted to test the nonlinear properties of the LFTS. Results suggest the series exhibited non-normal, auto-correlative, and stationary characteristics. Moreover, we found that LFTS follow the power law distributions, and thereby we investigated the fractal structure, long range correlation, and intermittency, which indicated the self-similarity features of LFTS, and also provided hints that human societies are likely to share some universal properties.English and Chinese language frequency time series （LFTS） were constructed based on an English and two Chinese novels. Methods of statistical hypothesis testing were adopted to test the nonlinear properties of the LFTS. Results suggest the series exhibited non-normal, auto-correlative, and stationary characteristics. Moreover, we found that LFTS follow the power law distributions, and thereby we investigated the fractal structure, long range correlation, and intermittency, which indicated the self-similarity features of LFTS, and also provided hints that human societies are likely to share some universal properties.

关 键 词：时间序列分析 频率 语言 中文 英文 统计假设检验 非线性特性 长程相关性 

分 类 号：H030[语言文字—语言学]