abstractConceptual metaphor research has benefited from advances in discourse analytic and corpus linguistic methodologies over the years, especially given recent developments with Natural Language Processing (NLP) technologies. Such technologies are now capable of identifying metaphoric expressions across large bodies of text. Here we focus on how one particular analytic tool, MetaNet, can be used to study everyday discourse about personal and social problems, in particular, poverty and cancer, by leveraging reusable networks of primary metaphors enhanced with specific metaphor subcases. We discuss the advantages of this approach in allowing us to gain valuable insights into cross-linguistic metaphor commonalities and variation. To demonstrate its utility, we analyze corpus data from English and Spanish.

中文翻译：

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贫困和癌症隐喻的跨语言自动检测

摘要多年来，概念隐喻研究受益于话语分析和语料库语言方法的进步，特别是考虑到自然语言处理（NLP）技术的最新发展。这些技术现在能够识别大量文本中的隐喻表达。在这里，我们关注一个特定的分析工具 MetaNet，如何通过利用可重复使用的主要隐喻网络来研究有关个人和社会问题的日常话语，特别是贫困和癌症，并通过特定的隐喻子案例进行增强。我们讨论了这种方法的优势，使我们能够获得对跨语言隐喻共性和变化的宝贵见解。为了证明它的实用性，我们分析了英语和西班牙语的语料库数据。