帮助 本站公告
您现在所在的位置:网站首页 > 知识中心 > 文献详情
文献详细Journal detailed

主语表征预报思维指向状态的马尔科夫链模型
The Markov Chain Model for Forecasting of Subject Representation to Thinking Point State

作  者: ; ;

机构地区: 广州大学

出  处: 《心理学报》 2012年第9期1160-1166,共7页

摘  要: 个体的语言表征是一种随机现象,在连续句子构成的语言表征中,句子主语表征现象具有马氏性。采用马尔科夫链模型建构句子主语表征的状态转移概率矩阵,发现主语表征的名词(n)/代词(r)是一个正则链。主语表征变化规律反映思维指向的变化规律,个体根据对环境的适应需要,通过第一个句子的主语表征反映出客观思维或主观思维指向的随机性,通过N个句子则反映出个体既关注外界又关注自我的思维指向稳定性的特征。外显的语言表征是观察内隐的心理变化的客观线索,运用数学模型的方法,通过语言表征的规律可以对心理活动的可能变化做出预报。 Acquiring quantitative data of linguistic and mental representations is not only a techno-keystone about the correlative between language and mentality but also a difficult point of research methodology about linguistic analysis. The mathematical model which, combining natural linguistic structure, provides quantitative analysis is of very important impact for understanding the psychological information delivered by language representation. The sentential subject, including mostly noun and pronoun, is the starting point of this sentence and the foundation of logistic thinking. The linguistic representation people use is a kind of random phenomenon, in other words, people have to use natural language to symbolize thinking process and its outcome. However, in a sentence, whether the noun or the pronoun will appear first is purely random. In linguistic representation of sequential sentences, the structure of the subjects is of Markov property. So we may adopt the Markov chain model to depict the random phenomenon of sentence subject representation. We collected 124 data sets from a general subject class, a selective course taken by 124 college students finished with a written report by each student. The source of the participants was widespread, including students from sophomore to senior, while their majors involve arts, science, and engineering, as well as sports, beaus-arts, and music, etc. Such a sample set fits the requirement for this research quite well. Each sample involved 5 topic sentences and 1 Thematic Apperception Test. There were 121 valid data, the valid rate of the data reached 97.58%. Based on the Markov property definition of sentence subject representation, the research aim of this project is to calculate the transition matrix of representation so as to observe the implicit status explicit natural language representation. sentence subject representation in aggregate of language of the thinking point trend a person demonstrated through Through this research, we found that the n/r-state (noun/pr

关 键 词: 语言表征 主语表征 思维指向状态 马尔科夫链

领  域: [哲学宗教] [哲学宗教]

相关作者

作者 郭栋
作者 陈超莹
作者 银珊
作者 全鹏
作者 何子静

相关机构对象

机构 华南理工大学
机构 华南理工大学外国语学院
机构 广东外语外贸大学
机构 中山大学外国语学院
机构 中山大学

相关领域作者

作者 张玉普
作者 张蕾蕾
作者 张馨文
作者 徐敏
作者 施群丽