比较级语义:一种基于差异的方法

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Biomedical Semantics Pub Date : 2021-01-01 DOI:10.1093/jos/ffab003
Linmin Zhang, Jia Ling
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引用次数: 7

摘要

1度语义学是研究测量和比较的意义如何在自然语言中编码而发展起来的。在3级语义中,本文提出了一种基于差异(或基于减法)的方法来分析比较级的语义。动机是比较物中差异的可测量性和可比性。主要的主张是,6比较值编码了三个标量值之间的减法方程:沿着间隔尺度的两个7测量值以及它们之间的差值。我们贡献了两项创新:(i)使用区间算法实现减法,9和(ii)分析比较语素-er/more作为加性粒子,表示默认的,最普遍的,正差异。我们的分析继承了文献中已有的见解。此外,这些创新还带来了新的概念和经验优势。特别地,我们讨论了包含13个比子句内部量词和各种数值微分的比较级的解释。我们还解释了范围岛问题、15个比子句的单调性以及标准在比较中的话语地位三个方面的困惑。16
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The Semantics of Comparatives: A Difference-Based Approach
1 Degree semantics has been developed to study how the meanings of 2 measurement and comparison are encoded in natural language. Within degree 3 semantics, this paper proposes a difference-based (or subtraction-based) approach 4 to analyze the semantics of comparatives. The motivation is the measurability and 5 comparability of differences involved in comparatives. The main claim is that 6 comparatives encode a subtraction equation among three scalar values: two 7 measurements along an interval scale and the difference between them. We 8 contribute two innovations: (i) using interval arithmetic to implement subtraction, 9 and (ii) analyzing comparative morpheme -er/more as an additive particle, denoting 10 the default, most general, positive difference. Our analysis inherits existing insights 11 in the literature. Moreover, the innovations bring new conceptual and empirical 12 advantages. In particular, we address the interpretation of comparatives containing 13 than-clause-internal quantifiers and various kinds of numerical differentials. We also 14 account for three puzzles with regard to the scope island issue, the monotonicity of 15 than-clauses, and the discourse status of the standard in comparison. 16
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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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