吴格曲线的推导:评价语言变异形式理论的一个标准

IF 3 1区 文学 0 LANGUAGE & LINGUISTICS
B. Hayes
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引用次数: 14

摘要

在这篇综述中,我评估了各种基于约束的形式框架,这些框架可以处理变量现象,如格式良好的直觉、自由变化的输出和词汇频率匹配。这种评估背后的想法是,梯度语言学中的数据落入自然的数学模式,我称之为定量签名。这里处理的关键特征是概率从0到1的s形曲线,以及组合了两个或多个s形曲线的wug形曲线。我认为这些特征在语言学中反复出现,我从音韵学、句法、语义学、社会语言学、语音学和语言变化中引用了例子。我认为生成这些签名的能力是一种可以帮助我们在竞争框架之间进行选择的特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deriving the Wug-Shaped Curve: A Criterion for Assessing Formal Theories of Linguistic Variation
In this review, I assess a variety of constraint-based formal frameworks that can treat variable phenomena, such as well-formedness intuitions, outputs in free variation, and lexical frequency-matching. The idea behind this assessment is that data in gradient linguistics fall into natural mathematical patterns, which I call quantitative signatures. The key signatures treated here are the sigmoid curve, going from zero to one probability, and the wug-shaped curve, which combines two or more sigmoids. I argue that these signatures appear repeatedly in linguistics, and I adduce examples from phonology, syntax, semantics, sociolinguistics, phonetics, and language change. I suggest that the ability to generate these signatures is a trait that can help us choose between rival frameworks.
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来源期刊
CiteScore
7.20
自引率
6.20%
发文量
37
期刊介绍: The Annual Review of Linguistics, in publication since 2015, covers significant developments in the field of linguistics, including phonetics, phonology, morphology, syntax, semantics, pragmatics, and their interfaces. Reviews synthesize advances in linguistic theory, sociolinguistics, psycholinguistics, neurolinguistics, language change, biology and evolution of language, typology, as well as applications of linguistics in many domains.
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