five

Cross-linguistic regularities and learner biases reflect “core” mechanics

收藏
Figshare2018-01-12 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/Cross-linguistic_regularities_and_learner_biases_reflect_core_mechanics/5778573
下载链接
链接失效反馈
官方服务:
资源简介:
Recent research in infant cognition and adult vision suggests that the mechanical object relationships may be more salient and naturally attention grabbing than similar but non-mechanical relationships. Here we examine two novel sources of evidence from language related to this hypothesis. In Experiments 1 and 2, we show that adults preferentially infer that the meaning of a novel preposition refers to a mechanical as opposed to a non-mechanical relationship. Experiments 3 and 4 examine cross-linguistic adpositions obtained on a large scale from machines or from experts, respectively. While these methods differ in the ease of data collection relative to the reliability of the data, their results converge: we find that across a range of diverse and historically unrelated languages, adpositions (such as prepositions) referring to the mechanical relationships of containment (e.g “in”) and support (e.g. “on”) are systematically shorter than closely matched but not mechanical words such as “behind,” “beside,” “above,” “over,” “out,” and “off.” These results first suggest that languages regularly contain traces of core knowledge representations and that cross-linguistic regularities can therefore be a useful and easily accessible form of information that bears on the foundations of non-linguistic thought.
创建时间:
2018-01-12
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作