Torsten Zesch, Andrea Horbach, Melanie Goggin, Jennifer Wrede-Jackes
{"title":"A flexible online system for curating reduced redundancy language exercises and tests","authors":"Torsten Zesch, Andrea Horbach, Melanie Goggin, Jennifer Wrede-Jackes","doi":"10.14705/rpnet.2018.26.857","DOIUrl":null,"url":null,"abstract":"We present a tool for the creation and curation of C-tests. C-tests are an established tool in language proficiency testing and language learning. They require examinees to complete a text in which the second half of every second word is replaced by a gap. We support teachers and test designers in creating such tests through a web-based system using Natural Language Processing (NLP) techniques. We provide support both for creating a test from a given text according to guidelines for different languages, as well as for automatically assessing the overall difficulty of the created test.","PeriodicalId":138095,"journal":{"name":"Future-proof CALL: language learning as exploration and encounters – short papers from EUROCALL 2018","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future-proof CALL: language learning as exploration and encounters – short papers from EUROCALL 2018","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14705/rpnet.2018.26.857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We present a tool for the creation and curation of C-tests. C-tests are an established tool in language proficiency testing and language learning. They require examinees to complete a text in which the second half of every second word is replaced by a gap. We support teachers and test designers in creating such tests through a web-based system using Natural Language Processing (NLP) techniques. We provide support both for creating a test from a given text according to guidelines for different languages, as well as for automatically assessing the overall difficulty of the created test.