从单词单词的小世界初步数据项目:检查对单词单词单词的回应
Jin Jye Wong1, Cynthia S Q Siew1
1National University of Singapore, Singapore.
Journal of open psychology data
|July 21, 2025
概括
单语单词的小世界 (SWOSW) 项目收集了常见单语单词的单词关联. 这项研究绘制了新加坡英语的语义结构,揭示了其独特词汇的洞察力.
科学领域:
- 语言学的语言学.
- 社会语言学 社会语言学
- 心理语言学 心理语言学
背景情况:
- 新加坡英语,或Singlish,是新加坡讲的一种独特的英语方言.
- 了解singlish的语义结构对于语言分析至关重要.
研究的目的:
- 为了收集常见的Singlish单词的自由关联数据.
- 构建用于分析Singlish词典的语义网络.
- 在不同参与者群体中比较语义结构.
主要方法:
- 通过在线调查平台收集数据.
- 使用自由关联任务对文字响应.
- 分析数据以建立语义网络.
主要成果:
- 生成单词关联数据用于常见的单词单词列表.
- 实现了单语术语的语义网络的构建.
- 提供了一个检查单英语词典中的语义结构的基础.
结论:
- 该SWOSW项目为理解单语语义提供了有价值的数据.
- 语义网络分析为单语词典的结构提供了洞察力.
- 未来的研究可以探索不同人群中语义结构的变化.
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