نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری زبانشناسی دانشگاه علامه طباطبائی
2 دانشگاه علامه طباطبائی
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Previous studies on Persian rhythm and prosodic typology have focused on micro-rhythm. However, micro-rhythm alone cannot explain the perceptible prosodic differences between language varieties such as Tehrani and Kermani varieties of Persian, which are classified under a single typological category, namely pitch-accent languages. In the current study, we have examined the prosodic differences between two Persian varieties, Tehrani and Kermani, using the parameter of macro-rhythm (Jun, 2014). We have quantified macro-rhythm using data from these two Persian varieties and compared their strength. The aim of this research is to introduce a quantitative method for measuring macro-rhythm using Persian language data and classify Tehrani and Kermani varieties based on the strength of macro-rhythm. To achieve this, we analyzed audio samples of speakers from Tehrani and Kermani varieties using Praat software (version 6.2.12) for acoustic analysis. We calculated three quantitative indices of macro-rhythm: nPVI (Normalized Pairwise Variability Index), MacR Variation Index (MacR_Var), and MacR Frequency Index (MacR_Freq). The values of these indices indicate that the macro-rhythm strength of Kermani variety is stronger than that of Tehrani variety, and quantifying macro-rhythm is a reliable method for studying the prosodic typology of languages.
کلیدواژهها [English]
)