数据集用于按本科生和研究生分类英语单词的难度级别
Nisar Ahmad Kangoo1, Manmohan Sharma1, Apash Roy2
1School of Computer Science and Engineering, Lovely Professional University, Phagwara Sub-District, Punjab, India.
Data in brief
|November 29, 2023
概括
本数据集对本科生和研究生学生的英语单词难度进行了分类. 它帮助研究人员和作者理解非母语英语的人的词汇.
科学领域:
- 语言学的语言学.
- 教育技术的教育技术
- 自然语言处理自然语言处理.
背景情况:
- 学生的词汇获取对于学业成功至关重要.
- 通过数字文本访问信息需要理解单词的含义.
- 现有的资源可能无法充分解决高等教育水平的非母语英语使用者的词汇困难.
研究的目的:
- 根据本科生和研究生所感知的难度对英语单词进行分类.
- 创建一个数据集有用的实时翻译和定制的学术写作.
主要方法:
- 数据收集包括对本科生和研究生进行调查.
- 词语根据学生报告的难度级别进行了分类.
- 分析的重点是非母语英语语境,特别是印度.
主要成果:
- 开发了一个数据集,将英语单词分类为不同的难度级别.
- 识别了不同教育阶段的学生认为困难的单词.
- 发现一些单词在两个学生群体中都是普遍容易的.
结论:
- 该数据集为研究人员和教育工作者提供了宝贵的资源.
- 为学生阅读数字文本提供实时词汇支持.
- 让作者能够为特定的学术受众调整写作复杂度.
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