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Analysis of the Characteristics of Metaphors in News Reviews on the China-US Trade War

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12278))

Abstract

How do we talk about the China-US trade war that has been the focus of China-US diplomacy? To study it, we collect news reviews regarding the trade war from the time when US President Trump took office in 2016 to December 2019, analyze the metaphors appearing in these news reviews, summarize their distributional characteristics and label them to build a metaphorical economic and trade metaphor resources. Through analysis, we find interesting differences in metaphors in terms of their positions in a concept dictionary and their numbers in these economic and trade articles. The first sentences in news reviews are found most likely to be metaphorical ones, and metaphors with concepts of water, human, disease, music, road, war and the like as source domains are outstanding. We also find that many metaphors have formed a fixed mapping of concepts and that metaphorical expressions often use source domain words or expressions with contrasting meanings and strong emotional tendencies. In addition, a conceptual metaphor may have multiple metaphorical expressions, but a more systematic view is that their source domain words belong to the same semantic category consistently.

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References

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Acknowledgments

This work was supported by the Major Program of National Social Science Foundation of China (18ZDA295), the Fundamental Research Funds for the Central Universities (19PT03), Beijing Language and Culture University (BLCU) First-Class Team Support Plan (JC201902), and the BLCU supported project for young researchers program (supported by the Fundamental Research Funds for the Central Universities) (20YCX093).

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Wang, X., Wang, Z. (2021). Analysis of the Characteristics of Metaphors in News Reviews on the China-US Trade War. In: Liu, M., Kit, C., Su, Q. (eds) Chinese Lexical Semantics. CLSW 2020. Lecture Notes in Computer Science(), vol 12278. Springer, Cham. https://doi.org/10.1007/978-3-030-81197-6_22

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  • DOI: https://doi.org/10.1007/978-3-030-81197-6_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81196-9

  • Online ISBN: 978-3-030-81197-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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