一个新型量化器的成年人学习跟踪语义普遍性
Sonia Ramotowska1, Leendert van Maanen2, Jakub Szymanik3
1Institut Jean-Nicod, Département d'Études Cognitives, École Normale Supérieure - PSL, EHESS, CNRS, Paris, France; Institute for Logic, Language and Computation, University of Amsterdam, The Netherlands.
语言中的语义通用,如保守性和数量,更容易学习. 这项研究发现,具有这些属性的量化器被学习得更快,支持语言通用性的可学习性假设.
科学领域:
- 语言学的语言学.
- 认知科学 认知科学
- 心理学 心理学 心理学
背景情况:
- 自然语言表现出普遍性质,特别是在量化方面.
- 确定了三个关键的语义普遍性:单调性,数量和保守性.
- 这些语义普遍的起源仍然是一个重要的研究问题.
研究的目的:
- 调查可学习性假设作为语义普遍性的解释.
- 为了确定表现为普遍的量化器是否更容易学习.
- 为语言结构中可学习性的作用提供经验证据.
主要方法:
- 进行了一项大规模的,在线的,受试者之间的实验.
- 参与者学习了一种新的量化器",gleeb",代表各种普遍性质.
- 测量学习速度以评估学习效率.
主要成果:
- 与非保守量化器相比,保守性显著提高了学习速度.
- 量化量化器的学习速度比非量化量化器要快.
- 上升的单调定量表现出比非单调定量表更快的学习速度;凸度没有显著影响学习速度.
结论:
- 这些发现为可学习性假设提供了强有力的支持.
- 语义通用似乎植根于学习的认知易度.
- 这项研究提供了对塑造自然语言量化的进化压力的洞察.
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