代表(政治)
计算机科学
背景(考古学)
语言学
自然语言处理
词(群论)
体验式学习
人工智能
认知科学
心理学
历史
哲学
数学教育
考古
政治
政治学
法学
作者
Gabriella Vigliocco,Lotte Meteyard,Mark Andrews,Stavroula Kousta
标识
DOI:10.1515/langcog.2009.011
摘要
Abstract We present an account of semantic representation that focuses on distinct types of information from which word meanings can be learned. In particular, we argue that there are at least two major types of information from which we learn word meanings. The first is what we call experiential information. This is data derived both from our sensory-motor interactions with the outside world, as well as from our experience of own inner states, particularly our emotions. The second type of information is language-based. In particular, it is derived from the general linguistic context in which words appear. The paper spells out this proposal, summarizes research supporting this view and presents new predictions emerging from this framework.
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