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Source Domain Verification Using Corpus-based Tools

机译:使用基于语料库的工具来源域验证

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摘要

Source domain verification has not received as much attention as criteria for metaphor identification in the study of conceptual metaphor. In this paper, we provide a replicable approach to source domain verification which we hope will provide a foundation for new approaches to this important question. We adopt an empirical method extended from previous research that used corpus-based linguistic tools such as SUMO (Suggested Upper Merged Ontology), WordNet, collocational patterns and an online dictionary. We present a new, step-by-step procedure to verify which keywords may be categorized in the source domain of building, using data from the Corpus of Hong Kong Political Speeches which contains parsed Chinese-language speeches by Hong Kong Chief Executives of the Hong Kong Special Administrative Region (1997-2014). Following the verification of a number of keywords in the building source domain, we discuss how this method may be adapted for other source domains and languages and discuss its application to various areas of study within metaphor research as well as the current limitations of this approach.
机译:源域验证尚未接受概念隐喻研究中的隐喻鉴定标准。在本文中,我们提供了一种可复制的方法来源域核查,我们希望为这一重要问题的新方法提供基础。我们采用了从以前的研究扩展的实证方法,这些方法使用基于语料库的语言工具,如Sumo(建议的上部合并本体),Wordnet,搭配模式和在线词典。我们展示了一个新的逐步过程,以验证哪些关键字可以在建筑物的源域中分类,使用香港政治演讲的源事组中包含香港首席执行官的香港汉语演讲的数据岗特派团(1997-2014)。在验证建筑源域中的许多关键字之后,我们讨论该方法如何适应其他源域和语言,并讨论其在隐喻研究中的各种研究领域的应用以及这种方法的当前限制。

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