{"title":"Hebrew nonverbal sentences wear reconstruction on their sleeve","authors":"Omri Doron","doi":"10.3765/y9wawx46","DOIUrl":null,"url":null,"abstract":"In this paper, I discuss a particle in Hebrew which has been termed Pron by Doron (1983). While its surface form is that of a pronoun, its distribution resembles that of a copula – it appears between the subject and the predicate in nonverbal present-tensed sentences. However, its distribution is limited in unexpected ways for a copula, which gained it some attention in the literature. Contra the standard line of analysis, I argue that Pron is in fact a resumptive pronoun left by the subject as it raises to a higher position. I show that this analysis ties together many of Pron’s prima facie-surprising distribution patterns.","PeriodicalId":21626,"journal":{"name":"Semantics and Linguistic Theory","volume":"6 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Semantics and Linguistic Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3765/y9wawx46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, I discuss a particle in Hebrew which has been termed Pron by Doron (1983). While its surface form is that of a pronoun, its distribution resembles that of a copula – it appears between the subject and the predicate in nonverbal present-tensed sentences. However, its distribution is limited in unexpected ways for a copula, which gained it some attention in the literature. Contra the standard line of analysis, I argue that Pron is in fact a resumptive pronoun left by the subject as it raises to a higher position. I show that this analysis ties together many of Pron’s prima facie-surprising distribution patterns.