2021
DOI: 10.3765/amp.v9i0.4920
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Computational Restrictions on Iterative Prosodic Processes

Abstract: We demonstrate a computational restriction on iterative prosody in phonology by using logical transductions. We show that the typology is fundamentally local but requires output recursion, formulated via quantifier-free transductions and least-fixed-point operators, respectively. We focus on two case studies from iterative prosody. One is iterative secondary stress. The other is more complex: iterative syllabification and epenthesis in Arabic dialects. The second case study involves formalizing Ito (1989)'s an… Show more

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Cited by 4 publications
(4 citation statements)
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“…Processes where application of a rule is iterative, such as spreading of a feature, are in general OSL (Chandlee 2014; Dolatian et al . 2021). OSL functions are separated into left and right subclasses (L-OSL and R-OSL).…”
Section: The Proposal and Computational Complexitymentioning
confidence: 99%
“…Processes where application of a rule is iterative, such as spreading of a feature, are in general OSL (Chandlee 2014; Dolatian et al . 2021). OSL functions are separated into left and right subclasses (L-OSL and R-OSL).…”
Section: The Proposal and Computational Complexitymentioning
confidence: 99%
“…At the word level, there is a plethora of work on generating prosodic constituents, all of which require finite-state or regular computation, whether for syllables (Kiraz and Möbius, 1998;Yap, 2006;Hulden, 2006;Idsardi, 2009), feet (van Oostendorp, 1993;Idsardi, 2009;Yu, 2017), or prosodic words (Coleman, 1995;Chew, 2003). 1 In fact, most wordlevel prosody seems to require at most subregular computation (Strother-Garcia, 2018Hao, 2020;Dolatian, 2020;Dolatian et al, 2021;Koser, in prep).…”
Section: Computation Of Prosodymentioning
confidence: 99%
“…OSL is the output-oriented counterpart of ISL, where functions are calculated based on information in the output string, rather than the input. Processes where application of a rule is iterative, such as spreading of a feature, are in general OSL (Chandlee, 2014;Dolatian et al, 2021). Intuitively this is because the next application of the rule depends on where it last applied, and so this information can only be located in the output.…”
Section: Introductionmentioning
confidence: 99%