{"title":"Cumulation Across Attitudes and Plural Projection","authors":"V. Schmitt","doi":"10.1093/jos/ffaa008","DOIUrl":null,"url":null,"abstract":"This paper investigates cumulative readings of sentences in which some, but not all of the plural expressions have a de dicto reading, i.e. sentences where the lower plural is interpreted in the scope of an attitude verb like believe. I argue that such cases represent a problem for existing accounts of cumulativity, because the required cumulative relation cannot be formed. I then motivate and propose an alternative analysis where all plural expressions are interpreted in situ: I expand the ‘plural projection’ framework put forth by Haslinger & Schmitt (2018, 2019), Schmitt (2019), where embedded pluralities ‘project’ to the denotations of higher nodes in the sense that the latter reflect the part-structure of the former and where cumulativity is derived via a compositional rule in a step-by-step fashion. I show that if the denotations of the plurals with the de dicto construal are analyzed as pluralities of individual concepts, which project in the afore-mentioned sense to pluralities of propositions, the data can be explained straightforwardly. This proposal differs from treatments in terms of collective belief that don’t appeal to pluralities of propositions ( Pasternak 2018a, b), in that it (i) arguably generalizes to a larger number of examples and (ii) links grammatical plurality in the embedded clause to the availability of cumulative readings.","PeriodicalId":15055,"journal":{"name":"Journal of Biomedical Semantics","volume":"53 1","pages":"557-609"},"PeriodicalIF":1.6000,"publicationDate":"2020-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomedical Semantics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/jos/ffaa008","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATHEMATICAL & COMPUTATIONAL BIOLOGY","Score":null,"Total":0}
引用次数: 4
Abstract
This paper investigates cumulative readings of sentences in which some, but not all of the plural expressions have a de dicto reading, i.e. sentences where the lower plural is interpreted in the scope of an attitude verb like believe. I argue that such cases represent a problem for existing accounts of cumulativity, because the required cumulative relation cannot be formed. I then motivate and propose an alternative analysis where all plural expressions are interpreted in situ: I expand the ‘plural projection’ framework put forth by Haslinger & Schmitt (2018, 2019), Schmitt (2019), where embedded pluralities ‘project’ to the denotations of higher nodes in the sense that the latter reflect the part-structure of the former and where cumulativity is derived via a compositional rule in a step-by-step fashion. I show that if the denotations of the plurals with the de dicto construal are analyzed as pluralities of individual concepts, which project in the afore-mentioned sense to pluralities of propositions, the data can be explained straightforwardly. This proposal differs from treatments in terms of collective belief that don’t appeal to pluralities of propositions ( Pasternak 2018a, b), in that it (i) arguably generalizes to a larger number of examples and (ii) links grammatical plurality in the embedded clause to the availability of cumulative readings.
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.