Name
Title | ||
|---|---|---|
Orthographic Structuring of Human Speech and Texts: Linguistic Application of Recurrence Quantification Analysis |
Abstract | ||
|---|---|---|
A methodology based upon recurrence quantification analysis is pro- posed for the study of orthographic structure of written texts. Five dif- ferent 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 sam- ples) were subjected to recurrence quantification analysis, a procedure which has been found to be diagnostically useful in the quantitative as- sessment of ordered series in fields such as physics, molecular dynamics, physiology, and general signal processing. Recurrence quantification was developed from recurrence plots as applied to the analysis of nonlinear, complex systems in the physical sciences, and is based on the compu- tation of a distance matrix of the elements of an ordered series (in this case the letters consituting selected speech and poetic texts). From a strictly mathematical view, the results show the possibility of demonstrat- ing invariance between different language exemplars despite the apparent low-level of coding (orthography). Comparison with the actual texts con- firms the ability of the method to reveal recurrent structures, and their complexity. Using poems as a reference standard for judging speech com- plexity, the technique exhibits language independence, order dependence and freedom from pure statistical characteristics of studied sequences, as well as consistency with easily identifiable texts. Such studies may pro- vide phenomenological markers of hidden structure as coded by the purely orthographic level. |
Year | Venue | Field |
|---|---|---|
1997 | Computing Research Repository | Data set,Orthographic projection,Computer science,Coding (social sciences),Artificial intelligence,Natural language processing,Recurrence quantification analysis,Computation,Invariant (physics),Orthography,Distance matrix,Linguistics,Machine learning |
DocType | Volume | Citations |
Journal | cmp-lg/971 | 4 |
PageRank | References | Authors |
0.96 | 1 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Franco F. Orsucci | 1 | 5 | 1.33 |
| Kimberly Walter | 2 | 4 | 0.96 |
| Alessandro Giuliani | 3 | 170 | 25.21 |
| Charles L. Webber Jr. | 4 | 13 | 4.99 |
| Joseph P. Zbilut | 5 | 48 | 10.79 |
| J. P. Zbilut | 6 | 4 | 0.96 |