Harmony is one of the most researched phenomena in phonological theory, mainly due to its iterative, nonlocal nature. In this review, I summarize several of the key issues in harmony that can be addressed using an artificial grammar learning approach, including differences between consonant and vowel harmony, transparent and opaque neutral vowels, computational complexity of attested and unattested harmony patterns, and morphological and phonetic influences on harmony. The review demonstrates how the artificial grammar learning paradigm can offer unique insights into the representation of vowel harmony and provides suggestions for ways in which aspects of harmony can be manipulated to offer further insights into the still unanswered questions on harmony and phonological representations.

中文翻译：

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局部性与和谐：来自人工语法学习的视角

和声是语音理论中研究最多的现象之一，主要是由于其具有迭代性，非局部性。在这篇综述中，我总结了可以使用人工语法学习方法解决的和声中的几个关键问题，包括辅音和元音和声之间的差异，透明和不透明的中性元音，经证明的和未经证明的和声模式的计算复杂性，形态和语音对和谐的影响。该评论说明了人工语法学习范式如何能够提供关于元音和声表示的独特见解，并为如何操纵和声方面的方法提供了建议，从而为关于和声和语音表示的尚无答案的问题提供了进一步的见解。