{"title":"Disjunction Triggers Exhaustivity Implicatures in 4- to 5-Year-Olds: Investigating the Role of Access to Alternatives","authors":"Nicole Gotzner, D. Barner, S. Crain","doi":"10.1093/jos/ffz021","DOIUrl":null,"url":null,"abstract":"\n Children’s difficulty deriving scalar implicatures has been attributed to a variety of factors including processing limitations, an inability to access scalar alternatives, and pragmatic tolerance. The present research explores the nature of children’s difficulty by investigating a previously unexplored kind of inference—an exhaustivity implicature that is triggered by disjunction. We reasoned that if children are able to draw quantity implicatures but have difficulties accessing alternative lexical expressions from a scale, then they should perform better on exhaustivity implicatures than on scalar implicatures, since the former do not require spontaneously accessing relevant scalar alternatives from the lexicon. We conducted two experiments. Experiment 1 found that 4- to 5-year-olds consistently computed exhaustivity implicatures to a greater extent than scalar implicatures. Experiment 2 demonstrated that children are more likely to compute exhaustivity implicatures with disjunction compared to conjunction. We conclude that children often fail to derive scalar implicatures because (1) they struggle to access scalar alternatives and (2) disjunction (but not conjunction) makes subdomain alternatives particularly salient. Thus, the findings suggest that exhaustivity implicatures can be derived without reference to a scale of alternatives.","PeriodicalId":15055,"journal":{"name":"Journal of Biomedical Semantics","volume":"92 1","pages":"219-245"},"PeriodicalIF":1.6000,"publicationDate":"2020-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomedical Semantics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/jos/ffz021","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: 5
Abstract
Children’s difficulty deriving scalar implicatures has been attributed to a variety of factors including processing limitations, an inability to access scalar alternatives, and pragmatic tolerance. The present research explores the nature of children’s difficulty by investigating a previously unexplored kind of inference—an exhaustivity implicature that is triggered by disjunction. We reasoned that if children are able to draw quantity implicatures but have difficulties accessing alternative lexical expressions from a scale, then they should perform better on exhaustivity implicatures than on scalar implicatures, since the former do not require spontaneously accessing relevant scalar alternatives from the lexicon. We conducted two experiments. Experiment 1 found that 4- to 5-year-olds consistently computed exhaustivity implicatures to a greater extent than scalar implicatures. Experiment 2 demonstrated that children are more likely to compute exhaustivity implicatures with disjunction compared to conjunction. We conclude that children often fail to derive scalar implicatures because (1) they struggle to access scalar alternatives and (2) disjunction (but not conjunction) makes subdomain alternatives particularly salient. Thus, the findings suggest that exhaustivity implicatures can be derived without reference to a scale of alternatives.
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.