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  • 标题:Building a Corpus of 2L English for Automatic Assessment: The CLEC Corpus
  • 本地全文:下载
  • 作者:Ma Ángeles Zarco Tejada ; Ma Ángeles Zarco Tejada ; Carmen Noya Gallardo
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2015
  • 卷号:198
  • 页码:515-525
  • DOI:10.1016/j.sbspro.2015.07.474
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper we describe the CLEC corpus, an ongoing project set up at the University of Cádiz with the purpose of building up a large corpus of English as a 2L classified according to CEFR proficiency levels and formed to train statistical models for automatic proficiency assessment. The goal of this corpus is twofold: on the one hand it will be used as a data resource for the development of automatic text classification systems and, on the other, it has been used as a means of teaching innovation techniques.
  • 关键词:automatic assessment;CEFR proficiency labels;teaching innovation techniques;corpus linguistics;automatic linguistic profile.
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