用于态度报告的细粒度语义

IF 1.1 0 LANGUAGE & LINGUISTICS
H. Lederman
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引用次数: 4

摘要

我注意到,Percus and Sauerland(2003)、Anand(2006)和Charlow and Sharvit(2014)的“概念生成器”理论并没有预测到对“柏拉图不相信Hesperus是磷”这句话的直观的真实解释。作为回应,我提出了一个简单的态度报告理论,该理论采用细粒度的名称语义,根据该理论,直观地命名同一事物的名称可能具有不同的组合语义值。这个简单的理论解决了概念生成器理论的问题,但是,正如我接下来要展示的,它也有自己的问题。我提出了三个例子,概念生成器理论可以容纳,但简单的细粒度理论不能。这些例子激发了本文的完整理论,它将概念生成器理论背后的基本思想与名称的细粒度语义相结合。这些例子本身与我的理论无关:其中两个例子比之前讨论的例子更严格地约束了原始的概念生成器理论。早期访问
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fine-grained semantics for attitude reports
I observe that the “concept-generator” theory of Percus and Sauerland (2003) , Anand (2006), and Charlow and Sharvit (2014) does not predict an intuitive true interpretation of the sentence “Plato did not believe that Hesperus was Phosphorus”. In response, I present a simple theory of attitude reports which employs a fine-grained semantics for names, according to which names which intuitively name the same thing may have distinct compositional semantic values. This simple theory solves the problem with the concept-generator theory, but, as I go on to show, it has problems of its own. I present three examples which the concept-generator theory can accommodate, but the simple fine-grained theory cannot. These examples motivate the full theory of the paper, which combines the basic ideas behind the concept-generator theory with a fine-grained semantics for names. The examples themselves are of interest independently of my theory: two of them constrain the original concept-generator theory more tightly than previously discussed examples had. EARLY ACCESS
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