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metrical-strength-in-persian-p ...
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Author
MAHDAVI MAZDEH, MOHSENAffiliation
University of ArizonaIssue Date
2022-12-12
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Cambridge University Press (CUP)Citation
MAZDEH, M. M. (2023). Metrical strength in Persian poetic metres. Journal of Linguistics, 59(4), 795-829.Journal
Journal of LinguisticsRights
©The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
In determining the metrical structure of quantitative poetic metres, heavy (i.e. long) syllables are usually associated with metrically strong positions. In this study, examining the case of Persian metres, I argue that the metres must be treated as temporal patterns in music, where research on rhythm perception has shown that the metrical strength of an event is not directly determined by the inter-onset interval following it but sensitive to the overall arrangement of the attack points. To identify metrically strong positions, I introduce a different method based on the performance practices of participants in the poetic tradition. The strength hierarchy is then used to offer constituency trees for the metrical forms and classify them. The structures identified for metrical forms are different from those suggested in previous accounts of Persian metres, in that they allow incomplete constituents at the left edges of metres. Building upon this general framework, a set of constraints chiefly based on well-known universal rhythmic tendencies is introduced and the Persian metre inventory is accounted for as emerging from the interaction of these constraints.Note
Open access articleISSN
0022-2267EISSN
1469-7742Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1017/s0022226722000482
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Except where otherwise noted, this item's license is described as ©The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence
(https://creativecommons.org/licenses/by/4.0/).

