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Autosegmental Aims in Surface-Optimizing Phonology

机译:表面优化音素的自动细分目标

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We develop a novel optimization approach to tone. Its grammatical component consists of the similarity- and proximity-based correspondence constraint framework of Agreement by Correspondence theory (ABC). Its representational component, Q Theory, decomposes segments (Q) into temporally ordered, quantized subsegments (q), which comprise unitary sets of distinctive features, including tone. ABC+Q unites phonological alternations and static lexical patterns, as we illustrate with a programmatic survey of core tonal phenomena: assimilation, dissimilation, lexical tone melodies, and consonant-tone interaction. ABC+Q surmounts long-standing problems for autosegmental-era, multitiered representational approaches to tone, and unites tonal and segmental phonology under the modern umbrella of correspondence theory.
机译:我们开发了一种新颖的音调优化方法。它的语法组成由基于对应理论的协议基于相似度和接近度的对应约束框架组成。它的代表性成分Q Theory将片段(Q)分解为时间有序的量化子片段(q),其中包括独特的特征(包括声调)的单一集合。 ABC + Q将语音交替和静态词汇模式结合在一起,正如我们通过对核心音调现象的编程调查所说明的那样:同化,异化,词汇音调旋律和辅音相互作用。 ABC + Q克服了自分段时代长期存在的问题,即在音调的现代保护伞下将音调和分段音位学结合起来,从而实现了音调的多层表示方法。

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