有冠词和无冠词语言的确定性、独特性和极大性

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Journal of Biomedical Semantics Pub Date : 2020-05-30 DOI:10.1093/jos/ffaa002
R. Šimík, Christoph Demian
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引用次数: 17

摘要

我们提出了一些实验来测试关于确定描述(在有冠词的语言中,这里用德语表示)和单纯名词(在无冠词的语言中,这里用俄语表示)意义的有影响力的假设。我们的研究结果与普遍接受的假设一致,即确定描述传达唯一性(如果是单数)或极大性(如果是复数),但不支持关于裸名称解释的两个假设,即单数裸名称传达唯一性(Dayal 2004)和主题裸名称传达唯一性/极大性(Geist 2010,以及许多其他假设)。在这些方法下,通过隐蔽的类型转换预计会产生唯一性或极大性推断。我们的结果与我们所认为的零假设是一致的,即无冠词语言中的裸名词是存在的,没有预设语义,即使它们在使用中与确定描述相对应(Heim 2011)。
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Definiteness, Uniqueness, and Maximality in Languages With and Without Articles
We present a number of experiments testing influential hypotheses about the meaning of definite descriptions (in languages with articles, represented here by German) and bare nominals (in articleless languages, represented here by Russian). Our results are in line with the commonly entertained hypothesis that definite descriptions convey uniqueness (if singular) or maximality (if plural), but fail to support two hypotheses about bare nominal interpretation, namely that singular bare nominals convey uniqueness ( Dayal 2004) and that topical bare nominals convey uniqueness/maximality ( Geist 2010, among many others). Uniqueness or maximality inferences are expected to arise via covert type-shifting under these approaches. Our results are compatible with what we take to be the null hypothesis, namely that bare nominals in articleless languages are existential and free of presuppositional semantics, even if they correspond—in their use—to definite descriptions ( Heim 2011).
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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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