论文标题
在英语评估测试中自动选择阅读段落？
Auto-Select Reading Passages in English Assessment Tests?
论文作者
论文摘要
我们展示了一种在英语评估测试中自动选择阅读段落的方法，并分享一些对相关领域有帮助的关键见解。在细节上，我们证明找到类似的段落（到已经出现在测试中的段落）可以为测试开发提供合适的段落。在此过程中，我们创建了一个简单的数据库 - tagger-filter算法并进行人类评估。但是，我们分析，缺乏覆盖范围的文本特征，以及2。我们找不到每个功能和适合性分数之间的有意义的相关性。最后，我们描述了未来的发展，以改善自动阅读通道的选择。
We show a method to auto-select reading passages in English assessment tests and share some key insights that can be helpful in related fields. In specifics, we prove that finding a similar passage (to a passage that already appeared in the test) can give a suitable passage for test development. In the process, we create a simple database-tagger-filter algorithm and perform a human evaluation. However, 1. the textual features, that we analyzed, lack coverage, and 2. we fail to find meaningful correlations between each feature and suitability score. Lastly, we describe the future developments to improve automated reading passage selection.
