{"title":"Models or strategies? on the perception of ambiguous words","authors":"Anzhelika Dubasova","doi":"10.36505/exling-2011/04/0016/000185","DOIUrl":null,"url":null,"abstract":"Models of lexical ambiguity resolution differ mainly with respect to the role played by context in lexical access. In my paper I focus on two opposing views: those of autonomous access models (non-context-oriented) and selective access models (context-oriented). I analyse two types of situations of: a. the activation of a wrong meaning of an ambiguous word unpredictable from both models and b. humour based on puns. Proceeding from my analysis I propose to include (those leading to errors) and consider existing models as strategies, consequently, treating unsuccessful lexical ambiguity resolution as the influence factors or as a selection of the wrong strategy.","PeriodicalId":447857,"journal":{"name":"ISCA Tutorial and Research Workshop on Experimental Linguistics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISCA Tutorial and Research Workshop on Experimental Linguistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36505/exling-2011/04/0016/000185","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
Models of lexical ambiguity resolution differ mainly with respect to the role played by context in lexical access. In my paper I focus on two opposing views: those of autonomous access models (non-context-oriented) and selective access models (context-oriented). I analyse two types of situations of: a. the activation of a wrong meaning of an ambiguous word unpredictable from both models and b. humour based on puns. Proceeding from my analysis I propose to include (those leading to errors) and consider existing models as strategies, consequently, treating unsuccessful lexical ambiguity resolution as the influence factors or as a selection of the wrong strategy.