隐喻分布特征法是一种可用于区分近义词的新方法,以概念隐喻理论为基础,以语料库数据为依托,体现了认知语言学和语料库语言学的结合发展。研究显示,隐喻分布特征法可捕捉以往方法未能揭示的细微差异,成为以往方法之有益补充。隐喻分布特征法对于英语词汇教学,特别是其中的近义词教学具有重要应用价值。 Metaphor distribution feature method is a new method that can be used to distinguish synonyms, based on conceptual metaphor theory and based on corpus data, embodies the combined development of cognitive linguistics and corpus linguistics. Research shows that the metaphorical distribution of features can capture the subtle differences that the previous methods failed to reveal and become a useful complement to previous approaches. Metaphors distribution characteristic method is of great value to English vocabulary teaching, especially the teaching of synonymous words among them.