{"title":"从最小化到焦点标记的语法化沿着标称脊柱向上再分析*","authors":"Yoshiki Ogawa","doi":"10.1111/stul.12208","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":46179,"journal":{"name":"STUDIA LINGUISTICA","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2022-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Grammaticalization from minimizer to focus marker as upward reanalysis along the nominal spine*\",\"authors\":\"Yoshiki Ogawa\",\"doi\":\"10.1111/stul.12208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":46179,\"journal\":{\"name\":\"STUDIA LINGUISTICA\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2022-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"STUDIA LINGUISTICA\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1111/stul.12208\",\"RegionNum\":3,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"N/A\",\"JCRName\":\"LANGUAGE & LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"STUDIA LINGUISTICA","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1111/stul.12208","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"N/A","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
期刊介绍:
Studia Linguistica is committed to the publication of high quality, original papers and provides an international forum for the discussion of theoretical linguistic research, primarily within the fields of grammar, cognitive semantics and language typology. The principal aim is to open a channel of communication between researchers operating in traditionally diverse fields while continuing to focus on natural language data.