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Unsupervised tool for quantification of progress in L2 English phraseological

机译:无监督工具,用于量化L2英语短语的进度

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This study aimed to aid the enormous effort required to analyze phraseological writing competence by developing an automatic evaluation tool for texts. We attempted to measure both second language (L2) writing proficiency and text quality. In our research, we adapted the CollGram technique that searches a reference corpus to determine the frequency of each pair of tokens (bi-grams) and calculates the t-score and related information. We used the Level 3 Corpus of Contemporary American English as a reference corpus. Our solution performed well in writing evaluation and is freely available as a web service or as source for other researchers.
机译:这项研究旨在通过开发文本自动评估工具来协助分析短语写作能力所需的巨大努力。我们试图衡量第二语言(L2)的写作能力和文本质量。在我们的研究中,我们采用了CollGram技术,该技术搜索参考语料库以确定每对标记(二元语法)的频率,并计算t分数和相关信息。我们使用了当代美国英语的3级语料库作为参考语料库。我们的解决方案在编写评估时表现良好,可以作为Web服务或其他研究人员的资源免费提供。

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