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In this paper a method is developed to analyze the increase of complexity from classical Greek poetry to classical Latin poetry by mapping large samples of poems onto a symbolic time series. This mapping setup intends to characterize the regular succession of rhythms, that is, the patterns of stressed and unstressed syllables in a verse. Using techniques from information theory; more precisely, the mutual information function, it is shown how the rhythmical patterns in Greek poetry evolve to more complex behavior in Latin poetry. Some interesting results are reported.
R. Mansilla E. Bush (Sun,) studied this question.