This paper examines opaque examples of phrase-level phonology taken from Chilean Spanish under the framework of Stratal Optimality Theory (OT) (Rubach 1997; Bermúdez-Otero 2003, 2019) and Harmonic Serialism (HS) (McCarthy 2008a, b, 2016). The data show an interesting double repair of the coda /s/ taking place at word edges. It is argued that Stratal OT is superior in modelling phonological processes that take place at the interface between morphology and phonology because it embraces cyclicity. Under this model, prosodic structure is built serially, level by level, and in accordance with the morphological structure of the input string. In this way, opacity at constituent edges can be solved. Stratal OT also provides insight into word-internal morphological structure and the domain-specificity of phonological processes. It is demonstrated that a distinction in this model is necessary between the word and the phrase levels, and between the stem and the word levels. As illustrated by the behaviour of Spanish nouns, affixation and the resultant alternations inform us about the domains to which both morphological and phonological processes should be assigned. Against this background, Harmonic Serialism embraces an apparently simpler recursive mechanism in which stepwise prosodic parsing can be incorporated. What is more, it offers insight into the nature of operations in OT, as well as into such problematic issues as structure building and directionality. Nevertheless, despite the model’s ability to solve various cases of opacity, the need to distinguish between two competing repairs makes HS fail when confronted with the Chilean data under examination.

中文翻译：

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最优性理论中的域建模：形态循环与逐步韵律解析

本文研究了在 Stratal Optimality Theory (OT) (Rubach 1997; Bermúdez-Otero 2003, 2019) 和 Harmonic Serialism (HS) (McCarthy 2008a, b, 2016) 框架下取自智利西班牙语的短语级音系的不透明示例。数据显示在单词边缘发生了有趣的尾音 /s/ 双重修复。有人认为，Stratal OT 在对发生在形态学和音韵学之间的接口处的语音过程进行建模方面具有优势，因为它包含循环性。在该模型下，韵律结构是按照输入字符串的形态结构，逐级逐级构建的。通过这种方式，可以解决组成边缘的不透明度。Stratal OT 还提供了对单词内部形态结构和语音过程领域特异性的洞察。已经证明，在这个模型中，单词和短语级别之间以及词干和单词级别之间的区别是必要的。正如西班牙语名词的行为所说明的那样，词缀和由此产生的交替告诉我们形态和语音过程应该分配到的领域。在此背景下，Harmonic Serialism 采用了一种明显更简单的递归机制，其中可以合并逐步韵律解析。更重要的是，它提供了对 OT 运营性质以及结构构建和方向性等问题的洞察。然而，尽管该模型能够解决各种不透明情况，但需要区分两个相互竞争的修复使得 HS 在面对正在检查的智利数据时失败。