共现
词(群论)
流利
计算机科学
启动(农业)
钥匙(锁)
心理信息
自然语言处理
人工智能
心理学
语言学
生物
植物
生物化学
发芽
哲学
数学教育
计算机安全
梅德林
作者
Olivera Savic,Layla Unger,Vladimir M. Sloutsky
摘要
Human word learning is remarkable: We not only learn thousands of words but also form organized semantic networks in which words are interconnected according to meaningful links, such as those between apple, juicy, and pear. These links play key roles in our abilities to use language. How do words become integrated into our semantic networks? Here, we investigated whether humans integrate new words by harnessing simple statistical regularities of word use in language, including: (a) Direct co-occurrence (e.g., eat-apple) and (b) Shared co-occurrence (e.g., apple and pear both co-occur with eat). In four reported experiments (N = 139), semantic priming (Experiments 1-3) and eye-tracking (Experiment 4) paradigms revealed that new words became linked to familiar words following exposure to sentences in which they either directly co-occurred, or shared co-occurrence. This finding highlights a potentially key role for co-occurrence in building organized word knowledge that is fundamental to our unique fluency with language. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
科研通智能强力驱动
Strongly Powered by AbleSci AI