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Research on Quantifier Phrases Based on the Corpus of International Chinese Textbooks

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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

Chinese is rich in quantifiers, and studying various types and structures of quantifier phrases is a necessary way to master quantifiers. Using Chinese information processing technology to study quantifier phrases in international Chinese teaching is conducive to promoting deep integration in the two fields. This paper first constructs a knowledge base of quantifier phrase structural modes by tagging the quantifier phrases in the corpus of a certain scale of international Chinese textbooks. Then the characteristics of quantifier phrases in the field of international Chinese teaching are analyzed through the constructed structural mode knowledge base. Finally, on the basis of the structural mode knowledge base, automatic recognition of quantifier phrases in the corpus of international Chinese textbooks is studied.

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Acknowledgments

This study was supported by the National Natural Science Foundation of China (61877004) and the Natural Science Foundation for the Higher Education Institutions of Anhui Province of China (KJ2019A0592).

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Authors and Affiliations

  1. College of Information Science and Technology, Beijing Normal University, Beijing, China

    Dongdong Guo, Jihua Song, Weiming Peng & Yinbing Zhang

Authors
  1. Dongdong Guo
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  2. Jihua Song
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  3. Weiming Peng
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  4. Yinbing Zhang
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Corresponding author

Correspondence to Jihua Song .

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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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Guo, D., Song, J., Peng, W., Zhang, Y. (2020). Research on Quantifier Phrases Based on the Corpus of International Chinese Textbooks. 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_84

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  • DOI: https://doi.org/10.1007/978-3-030-38189-9_84

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-38188-2

  • Online ISBN: 978-3-030-38189-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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