语义透明度的多维性质在跨语言视角:来自人类直觉的证据,计算估计和处理中国化合物的数据
Jing Chen1, Emmanuele Chersoni2, Marco Marelli1
1Department of Psychology, University of Milano - Bicocca.
Cognitive science
|March 11, 2026
概括
在普通话中文化合物中的语义透明度是多维的. 不同的措施捕捉不同的方面,影响文字处理和词汇决策,验证跨语言发现.
科学领域:
- 心理语言学 心理语言学
- 计算语言学 计算语言学
- 认知科学 认知科学
背景情况:
- 语义透明度对于理解复杂的文字处理至关重要.
- 现有的研究表明,这种构造的概念化和操作化方式各不相同.
- 需要跨语言验证,以确认其在不同语言中的特性.
研究的目的:
- 在普通话中文化合物中验证语义透明性的多维性质.
- 为了研究语义透明度的各种措施之间的潜在结构.
- 检查语义透明度维度和词汇决策性能之间的关系.
主要方法:
- 构建2675个普通话中文名义化合物的新型数据集.
- 收集各种措施:人类评分,传统的分布式语义模型和大型语言模型.
- 探索性因子分析,以检查语义透明度措施的潜在结构.
主要成果:
- 因子分析证实了语义透明度的多维性质.
- 确定了不同的因素:成分的语义贡献和化合物的可预测性.
- 复合因素预测了词汇决策表现,第二个组成部分的贡献显示了促进作用.
结论:
- 语义透明度的多维性扩展到普通话中文化合物.
- 这些发现支持了多维性假设的跨语言有效性.
- 该研究为未来关于化合物加工的研究提供了宝贵的资源和方法见解.
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