Domains of Polarity Items

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Vincent Homer
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引用次数: 10

Abstract

This article offers a unified theory of the licensing of Negative and Positive Polarity Items (PIs), focusing on the acceptability conditions of PPIs of the some-type, and NPIs of the any-type. It argues that licensing has both a syntactic and a semantic component. On the syntactic side, the acceptability of PIs is checked in constituents; in fact, for any given PI, only some constituents, referred to as `domains', are eligible for the evaluation of that PI. The semantic dimension of licensing consists in the sensitivity of PIs to the monotonicity properties of the syntactic environments they find themselves in. Two pieces of evidence support the semantic dimension of what I call the ‘environment-based’ approach defended here: (i.) PIs are subject to flip-flop and (ii.) certain inferences affect their acceptability by modifying the monotonicity of their environment. A third property, called ‘entanglement’ and so far unnoticed, is described: the acceptability of PIs depends on the acceptability of other PIs in the same syntactic environment. The latter property is exploited to determine what semantic property some is sensitive to: it turns out that, contrary to the consensus among researchers, some is acceptable in the complement of the set of environments in which any is acceptable, and vice versa.
极性项目的域
本文提出了正负极性项目许可的统一理论,重点讨论了某种类型的正负极性项目和任意类型的非极性项目的可接受条件。它认为许可包含句法和语义两个部分。在句法方面,在成分中检查pi的可接受性;事实上,对于任何给定的PI,只有一些成分,称为“域”,有资格对该PI进行评估。许可的语义维度在于pi对其所处语法环境的单调性的敏感性。有两项证据支持我在这里捍卫的所谓“基于环境”方法的语义维度:(1)pi受制于触发器和(ii)某些推论通过改变其环境的单调性而影响其可接受性。第三个特性被称为“纠缠”,迄今为止还没有被注意到,它被描述为:pi的可接受性取决于相同语法环境中其他pi的可接受性。后一种属性被用来确定某些语义属性对什么敏感:事实证明,与研究人员的共识相反,在任何可接受的环境集合的补充中,某些是可接受的,反之亦然。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biomedical Semantics
Journal of Biomedical Semantics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.20
自引率
5.30%
发文量
28
审稿时长
30 weeks
期刊介绍: Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas: Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability. Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.
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