文本分析项目-源码
德语句子的自动复杂度评估
团队成员
里奥·阮·拉乌尔·贝格·康拉德·斯特劳布·蒂尔·诺彻
邮件地址
现有代码片段
利用的图书馆
运行代码（稍后将设置主入口点）
下载数据集：
python download_data.py
项目状态
数据分析
我们的主要数据源是TextComplexityDE 19数据集（ ），其中包含1000个德语句子，由外语学习者在7点Likert量表上标记为A级和B级，其中1表示低复杂度，高可读性句子，而7则相反。 其中900个句子来自23篇德国Wikipedia文章，其余100则来自Leichte Sprache。 数据集中的每个句子至少由5个人标记，数据集中提供了它们的平均评分。 除了复杂性/可读性之外，还收集了句子的可理解性和词汇难度得分。
图：饼图显示（四舍五入的）评级分布。
评级不是平均分配的，因为平均没有句子收到7，而很少有人得到6。在句子的
文件下载
资源详情
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