{"title":"WordNet-Based Way to Identify Chinglish in Automated Essay Scoring Systems","authors":"W. Zhuge, Jingyu Hua","doi":"10.1109/KAM.2009.322","DOIUrl":null,"url":null,"abstract":"Recent years have witnessed the success of Automated Essay Scoring (AES) in western countries. However, its further promotion in China is limited by the negative transfer of non-native learners. Therefore, this paper proposed a new way to identify Chinglish, which obstructs the development of AES in China. This WordNet-based method starts with dealing with semantic relations between English verbs, calculates semantic distances between subjects and objects, and then realizes the identification of Chinglish by threshold. Experiments conducted in one university show that the proposed way performs well in identifying Chinglish in college students' English essays.","PeriodicalId":192986,"journal":{"name":"2009 Second International Symposium on Knowledge Acquisition and Modeling","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Second International Symposium on Knowledge Acquisition and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAM.2009.322","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Recent years have witnessed the success of Automated Essay Scoring (AES) in western countries. However, its further promotion in China is limited by the negative transfer of non-native learners. Therefore, this paper proposed a new way to identify Chinglish, which obstructs the development of AES in China. This WordNet-based method starts with dealing with semantic relations between English verbs, calculates semantic distances between subjects and objects, and then realizes the identification of Chinglish by threshold. Experiments conducted in one university show that the proposed way performs well in identifying Chinglish in college students' English essays.
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