In this thesis we present a semantic representation formalism based on directed graphs and explore its linguistic adequacy and explanatory benefits in the semantics of plurality and quantification. Our graph language covers the essentials of natural language semantics using only monadic second-order variables. We define its model-theoretical interpretation in terms of graph traversal, where the relative scope of variables arises from their order of valuation. We present a unification-based mechanism for constructing semantic graphs at a simple syntax-semantics interface, where syntax as a partition function on discourse referents is implemented with categorial grammars by establishing a partly deterministic relation between semantics and syntactic distribution. This mechanism is automated to facilitate future exploration. The present graph formalism is applied to linguistic issues in distributive predication, cross-categorial conjunction, and scope permutation of quantificational expressions, including the exceptional scoping behaviors of indefinites.
翻译:在此论文中,我们展示了一种基于定向图表的语义代表形式主义,并探讨了其语言充分性和解释性在多元性和量化的语义中的好处。我们的语系语言仅使用月度第二阶变量涵盖自然语言语义的基本要素。我们用图表曲解定义其模型理论解释,其中变量的相对范围源自其估价顺序。我们提出了一个基于统一的机制,用于在一个简单的语法-语义界面上构建语义图。在这个界面上,通过在语义和合成分布之间建立部分确定性关系,对语义语义表达进行语义区分功能,通过建立语义和合成分布之间的部分确定性关系。这个机制是自动化的,以便利未来的探索。目前的语系形式主义适用于语言问题在分配性预言、交叉分类关联和定量表达的范围的变异,包括不定期的特殊范围界定行为。