Abstract
In a previous study, we have regarded real written texts as time series data and have tried to investigate dynamic correlations of word occurrences by utilizing an autocorrelation function (ACF). The results showed that the obtained ACFs can be classified into two groups: One was a group of ACFs showing dynamic correlations and the other was a group of ACFs showing no correlations. A word having the former ACF was called Type-I word, and a word with the latter ACF was called Type-II word. In this study, we investigate the mechanism of generating dynamic correlations of Type-I words by conducting simulations of pseudo-text synthesis. The results of the simulation clarified that inheritance of words between subsequent paragraphs is key to generate dynamic correlations of Type-I words, indicating a important role of long-range memory with duration time from few to several tens of sentences.
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