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International Journal of Chaos Theory and Applications, 4(2–3) (1999)
A methodology based upon recurrence quantification analysis is proposed for the study of orthographic structure of written texts. Five different orthographic data sets (20th century Italian poems, 20th century American poems, contemporary Swedish poems with their corresponding Italian translations, Italian speech samples, and American speech samples) were subjected to recurrence quantification analysis. This procedure has been found useful in the quantitative assessment of ordered series in several fields. Recurrence quantification was developed from recurrence plots as applied to the analysis of non-linear systems in the physical sciences, and is based on the computation of a distance matrix of the elements of an ordered series (in this case the letters constituting selected speech and poetic texts). The results show the possibility of demonstrating invariance between different language exemplars, despite the apparent low-level of coding (orthography). Comparison with the actual texts confirms the ability of the method to reveal recurrent structures and their complexity. Using poems as a reference standard for judging speech complexity, the technique exhibits language independence, order dependence and freedom from pure statistical characteristics of the studied sequences, as well as consistency with easily identifiable texts. Such studies may provide phenomenological markers of hidden structure as coded by the purely orthographic level.
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