大多数定量符具有多种含义
Sonia Ramotowska1, Julia Haaf2, Leendert Van Maanen3
1Institute for Logic, Language and Computation, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands. s.ramotowska@uva.nl.
Psychonomic bulletin & review
|May 8, 2024
概括
个人将"少数"和"大多数"等量化符号与数字进行不同的映射,表明对模糊术语的理解有所不同. 这项研究揭示了基于他们如何解释量化器含义的不同子组.
科学领域:
- 认知科学 认知科学
- 心理语言学 心理语言学
- 计算语言学 计算语言学
背景情况:
- 像"少数"和"大多数"这样的量化词对于表达数量至关重要,但具有固有的模糊性.
- 了解人类如何解释和心理表现这些量化器对于语义理论至关重要.
- 现有的模型很难完全解释量化器解释中的变化.
研究的目的:
- 调查人们如何将量化器映射到数值的个体差异.
- 探索量化器在心理数轴上的排序.
- 为了确定量化器意义表示的变化来源.
主要方法:
- 一个在线实验收集了五个英语定量器的二进制真实值判断.
- 贝叶斯三参数逻辑回归模型用于数据分析.
- 聚类分析根据量化到数字的映射确定了子组.
主要成果:
- 确定了个人差异的三个来源:真相条件,模糊性和响应错误.
- 参与者出现了四个不同的子组,在量化解释和心理数轴表示上有所不同.
- 量化词的解释在不同个体之间有很大的差异.
结论:
- 量化器的语义表示受到个体差异的多个来源的影响.
- 这些发现挑战了对量化器的纯粹双价值,真理条件方法.
- 模糊逻辑方法需要进一步细化,以捕捉量化器含义中观察到的个体变化.
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