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Quantifying Evolution of Short and Long-Range Correlations in Chinese Narrative Texts across 2000 Years
We investigate how short and long-range word length correlations evolve in Chinese narrative texts. The results show that, for short-range word length correlations, no significant linear evolutionary trend was found. But for long-range correlations, there are two opposite tendencies for two different regimes: the Hurst exponent of small-scale (box size n ranges from 10 to 100) word length correlations decreases over time, and the exponent of large-scale (box size n ranges from 101 to 1000)doi:10.1155/2018/9362468 fatcat:sxnqhbf7fncp3jrbuxt46dzlje