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Research on Gender Tendency of Foreign Student’s Basic Chinese Vocabulary

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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 paper designs a basic vocabulary sequencing model and explores the differences in basic vocabulary output between male and female. It is found that male and female have obvious preferences in choosing needed vocabulary. Males are sensitive to numbers and concerned about the world issues, while females show dependence on living and learning environment and evaluation of their mood. Moreover, men tend to output abstract vocabulary, thinking about issues relatively macro. On the contrary, women tend to output specific vocabulary, consider things relatively micro. At the same time, there are also obvious differences between male and female in kinship terms and personal pronouns. Male and female give priority to the output of kinship terms with the same sex, but male give priority to the output of personal pronouns before female. The study reveals the differences in Chinese vocabulary output among learners of different genders.

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Acknowledgments

The work was supported by Major Program of National Social Science Foundation of China (18ZDA295); Funding Project of Education Ministry for Development of Liberal Arts and Social Sciences (16YJA740036); Top-ranking Discipline Team Support Program of Beijing Language and Culture University(JC201902); the Fundamental Research Funds for the Central Universities (18YBT03).

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Correspondence to Zhimin Wang .

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Wang, Z., Zhao, H. (2020). Research on Gender Tendency of Foreign Student’s Basic Chinese Vocabulary. 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_74

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  • DOI: https://doi.org/10.1007/978-3-030-38189-9_74

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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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