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A Corpus-Based Study of Keywords in Legislative Chinese and General Chinese

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Chinese Lexical Semantics (CLSW 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11831))

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Abstract

The study of keywords is a hot topic in corpus linguistics and plays an important role in investigating lexical features in specific contexts. For legislative Chinese, as a kind of Chinese for specific purposes, the comparative study of its keywords with those of general Chinese is of great significance for understanding its linguistic features. This study uses the legislative Chinese corpus and Chinese Web 2011 corpus mutually as the observation corpus and the reference corpus, and extracts 50 keywords with the highest keyness score respectively from each corpus. Through a comparative analysis of the semantic classification of these keywords, this study finds that legislative Chinese has the characteristics of focusing on political and economic meanings, showing strong professionalism, having more numerals and monosemous words. This study is of great significance for exploring the characteristics of legislative Chinese vocabulary and exploring the textual features of legislative Chinese.

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Notes

  1. 1.

    https://www.sketchengine.eu/zhtenten-chinese-corpus/.

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Acknowledgement

This research is supported by MYRG2019-00013-FAH, University of Macau.

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Authors and Affiliations

  1. Department of Chinese Language and Literature, University of Macau, Taipa, Macau

    Shan Wang & Jiuhan Yin

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  1. Shan Wang
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  2. Jiuhan Yin
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Corresponding author

Correspondence to Shan Wang .

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Editors and Affiliations

  1. National Taiwan Normal University, Taipei, Taiwan

    Jia-Fei Hong

  2. Beijing Information Science and Technology University, Beijing, China

    Yangsen Zhang

  3. Beijing Language and Culture University, Beijing, China

    Pengyuan Liu

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Wang, S., Yin, J. (2020). A Corpus-Based Study of Keywords in Legislative Chinese and General Chinese. In: Hong, JF., Zhang, Y., Liu, P. (eds) Chinese Lexical Semantics. CLSW 2019. Lecture Notes in Computer Science(), vol 11831. Springer, Cham. https://doi.org/10.1007/978-3-030-38189-9_65

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  • DOI: https://doi.org/10.1007/978-3-030-38189-9_65

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-38189-9

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