02155nas a2200241   4500000000100000000000100001008004100002260001200043653002400055653001300079653001000092653001800102100002100120700001800141700002600159700001900185245003100204856008000235300001200315490000600327520156600333022001401899       2023                            d  c06/202310aComputational Model10aPatterns10aMusic10aDelphi Method1 aFrancisco Gómez1 aManuel Tizón1 aAitor Arronte Alvarez1 aVictor Padilla00aRhetorical Pattern Finding  uhttps://www.ijimai.org/journal/sites/default/files/2023-05/ijimai8_2_17.pdf  a182-1890 v83 aIn this paper, we research rhetorical patterns from a musicological and computational standpoint. First, a theoretical examination of what constitutes a rhetorical pattern is conducted. Out of that examination, which includes primary sources and the study of the main composers, a formal definition of rhetorical patterns is proposed. Among the rhetorical figures, a set of imitative rhetorical figures is selected for our study, namely, epizeuxis, palilogy, synonymia, and polyptoton. Next, we design a computational model of the selected rhetorical patterns to automatically find those patterns in a corpus consisting of masses by Renaissance composer Tomás Luis de Victoria. In order to have a ground truth with which to test out our model, a group of experts manually annotated the rhetorical patterns. To deal with the problem of reaching a consensus on the annotations, a four-round Delphi method was followed by the annotators. The rhetorical patterns found by the annotators and by the algorithm are compared and their differences discussed. The algorithm reports almost all the patterns annotated by the experts and some additional patterns. The algorithm reports almost all the patterns annotated by the experts (recall: 98.11%) and some additional patterns (precision: 71.73%). These patterns correspond to rhetorical patterns within other rhetorical patterns, which were overlooked by the annotators on the basis of their contextual knowledge. These results pose issues as to how to integrate that contextual knowledge into the computational model.  a1989-1660