Source Domains as Concept Domains in Metaphorical Expressions

Siaw-Fong Chung, K. Ahrens, Chu-Ren Huang
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引用次数: 22

Abstract

The use of lexical resources in linguistic analysis has expanded rapidly in recent years. However, most lexical resources, such as WordNet or online dictionaries, at this point do not usually indicate figurative meanings, such as conceptual metaphors, as part of a lexical entry. Studies that attempt to establish the relationships between literal and figurative language by detecting the connectivity between WordNet relations usually do not deal with linguistic data directly. However, the present study demonstrates that SUMO definitions can be used to identify the source domains used in conceptual metaphors. This is achieved by identifying the relationships between metaphorical expressions and their corresponding ontological nodes. Such links are important because they show which lexical items are mapped under which concepts. This, in turn, helps specify which lexical items in electronic resources involve conceptual mappings. Looking specifically at the concept of PERSON, this work also establishes connectivity between lexical items which are related to “Organism.” Therefore, the methodology reported herein not only aids the categorizing of lexical items according to their conceptual domains but also can establish links between these items. Such bottom-up and top-down analyses of lexical items may provide a means of representing metaphorical entries in lexical resources.
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隐喻表达中的源域作为概念域
近年来,词汇资源在语言分析中的应用迅速扩大。然而,大多数词汇资源,如WordNet或在线词典,在这一点上通常不指出比喻意义,如概念隐喻,作为词汇条目的一部分。试图通过检测WordNet关系之间的连通性来建立字面语言和比喻语言之间关系的研究通常不直接处理语言数据。然而,本研究表明,SUMO定义可以用来识别概念隐喻中使用的源域。这是通过识别隐喻表达与其对应的本体节点之间的关系来实现的。这种链接很重要,因为它们显示了哪些词法项映射到哪些概念下。这反过来又有助于指定电子资源中的哪些词汇项涉及概念映射。具体来看PERSON的概念,这项工作还建立了与“有机体”相关的词汇项目之间的连通性。因此,本文报道的方法不仅有助于根据词汇的概念域对词汇进行分类,而且可以在这些词汇之间建立联系。这种自底向上和自顶向下的词汇条目分析可以提供一种表示词汇资源中隐喻条目的方法。
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