{"title":"Can Computational Meta-Documentary Linguistics Provide for Accountability and Offer an Alternative to \"Reproducibility\" in Linguistics?","authors":"T. Weber","doi":"10.4230/OASIcs.LDK.2019.26","DOIUrl":null,"url":null,"abstract":"As an answer to the need for accountability in linguistics, computational methodology and big data approaches offer an interesting perspective to the field of meta-documentary linguistics. The focus of this paper lies on the scientific process of citing published data and the insights this gives to the workings of a discipline. The proposed methodology shall aid to bring out the narratives of linguistic research within the literature. This can be seen as an alternative, philological approach to documentary linguistics. 2012 ACM Subject Classification Applied","PeriodicalId":377119,"journal":{"name":"International Conference on Language, Data, and Knowledge","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Language, Data, and Knowledge","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4230/OASIcs.LDK.2019.26","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
As an answer to the need for accountability in linguistics, computational methodology and big data approaches offer an interesting perspective to the field of meta-documentary linguistics. The focus of this paper lies on the scientific process of citing published data and the insights this gives to the workings of a discipline. The proposed methodology shall aid to bring out the narratives of linguistic research within the literature. This can be seen as an alternative, philological approach to documentary linguistics. 2012 ACM Subject Classification Applied