Algorithms for acquiring phonological features in Substance-Free Phonology and Emergent Feature Theory

大多数音系学理论认为，语言能力中的语音成分是以语音特征的先天单位为基础的，语音特征的声学和/或发音内容也是先天的。这是一个基本假设，在基于规则的理论，如SPE（乔姆斯基和哈雷，1968年）和后来的公式，其中的特点是层次结构，如特征几何（克莱门茨，1985年），以及约束为基础的理论开始与最优理论（王子和Smolensky，1993年）。然而，最近的研究方法对这些假设提出了挑战，如无实体音系学（Substance-Free Phonology）和涌现特征理论（Emergent Feature Theory），前者认为语音特征的语音内容与语音计算无关，后者则认为语音特征的内容是后天习得的，而不是先天的。我的研究兴趣是在这一领域，即语音结构可以获得的程度，以及获得本身的认知机制如何影响这些结构的性质。

Most phonological theories have held the position that the phonological component of thelanguage faculty is based around the innate unit of the phonological feature, and that the acousticand/or articulatory content of features is also innate. This is a foundational assumption in rule-basedtheories such as SPE (Chomsky & Halle, 1968) and later formulations in which features are givenhierarchical structure, such as Feature Geometry (Clements, 1985), as well as constraint-basedtheories starting with Optimality Theory (Prince & Smolensky, 1993). However, recent approacheschallenge these assumptions, such as Substance-Free Phonology, in which the phonetic content ofinnate features is irrelevant to phonological computation, and Emergent Feature Theory, whichclaims that the content of features is acquired, rather than innate. My research interest is in thisarea, namely the extent to which phonological structures can be acquired, and how the cognitivemechanisms of acquisition itself might influence the nature of those structures.