{"title":"Dialect separation and cross-dialectal influence: a study on the grammatical gender of Oromo","authors":"Tekabe Legesse Feleke","doi":"10.1515/ling-2022-0119","DOIUrl":null,"url":null,"abstract":"\n The extent to which the grammar of one dialect influences the grammar of another and the mechanisms that bidialectal speakers employ to distinguish a target grammar from non-target grammar have not been adequately investigated. In this study, we elucidate these issues by investigating the grammatical gender of Oromo, a Cushitic language that is spoken in Ethiopia. The results from two successive offline experiments indicate that Oromo bidialectal speakers can differentiate between the grammar of their native dialect and that of a non-native dialect in both spoken and written modes. This finding implies the existence of a dual-system representation of grammar. Moreover, there is a significant amount of dialect mixing that varies across various developmental stages and modalities. The bidialectal speakers’ ability to differentiate between the grammar of their native dialect and that of a non-native dialect is constrained by the magnitude of their exposure to the non-native dialect, modalities, and a specific property of grammatical forms. Here, we propose an interactive dialect separation model that accounts for diverse dialect contexts.","PeriodicalId":1,"journal":{"name":"Accounts of Chemical Research","volume":"15 5","pages":""},"PeriodicalIF":17.7000,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accounts of Chemical Research","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/ling-2022-0119","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The extent to which the grammar of one dialect influences the grammar of another and the mechanisms that bidialectal speakers employ to distinguish a target grammar from non-target grammar have not been adequately investigated. In this study, we elucidate these issues by investigating the grammatical gender of Oromo, a Cushitic language that is spoken in Ethiopia. The results from two successive offline experiments indicate that Oromo bidialectal speakers can differentiate between the grammar of their native dialect and that of a non-native dialect in both spoken and written modes. This finding implies the existence of a dual-system representation of grammar. Moreover, there is a significant amount of dialect mixing that varies across various developmental stages and modalities. The bidialectal speakers’ ability to differentiate between the grammar of their native dialect and that of a non-native dialect is constrained by the magnitude of their exposure to the non-native dialect, modalities, and a specific property of grammatical forms. Here, we propose an interactive dialect separation model that accounts for diverse dialect contexts.
期刊介绍:
Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance.
Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.