关于标量备选集的基数的注记

IF 1.6 3区 工程技术 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY
S. Mascarenhas
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引用次数: 0

摘要

标量蕴涵的形式理论对一组备选方案至关重要。这些是说话者本可以在语用中做出但选择不做的替代陈述,以及在语法方法中计算穷竭运算符的替代陈述。我展示了文献中三个足够明确的选择理论产生的选择集,至少作为输入的函数呈指数增长,并且这些理论即使对于相对较小的输入也会产生非常大的选择集。对于标量蕴涵的实用主义解释,我认为这些结果很难或不可能与我们从人类推理心理学中独立了解的操纵选择相一致。我认为它们对语法方法构成了较弱但更普遍的挑战,因为穷竭运算符所要求的替代出现在语法的其他地方,例如作为“only”和“even”等运算符的语义的一部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Note on the Cardinalities of Sets of Scalar Alternatives
Formal theories of scalar implicature appeal crucially to a set of alternatives. These are the alternative statements that a speaker could have made but chose not to in pragmatic accounts, and the alternative statements that figure in the computation of exhaustivity operators in grammatical approaches. I show that the three sufficiently explicit theories of alternatives in the literature generate sets of alternatives that grow at least exponentially as a function of the input, and that these theories generate very large sets even for relatively small inputs. For pragmatic accounts of scalar implicature, I argue these results are hard or impossible to square with what we know independently about manipulating alternatives from the psychology of human reasoning. I propose that they pose a weaker but more general challenge for grammatical approaches, since alternatives as required by exhaustivity operators occur elsewhere in grammar, for example as part of the semantics of operators like “only” and “even.”
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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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