Cited by 7Complex Network Analysis TechniquesSyntax, Semantics, Linguistic VariationNatural Language Processing Techniques

Function nodes in chinese syntactic networks

Chen, Xinying, Liu, Haitao·2016·Understanding Complex Systems

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Crossref · 10.1007/978-3-662-47238-5_9

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  • In Chinese, function words, such as prepositions, conjunctions, and auxiliary and modal particles, are the most connected word types that do not form syntactic dependency among themselves and only act as intermediate words in a syntactic network.

    “In Chinese, function words, such as prepositions, conjunctions, and auxiliary and modal particles, are the most connected word types that do not form syntactic dependency among themselves and only act as intermediate words in a syntactic network (Chen and Liu, 2016).”

    From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Chen and Liu, 2016

  • The number of zai ("in") in writing production of CSL learners is higher than that in oral production.

    “Chen and Liu (2016) found that the number of de (“of”) and zai (“in”) in writing production of CSL learners is higher than that in oral production.”

    From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Chen and Liu, 2016

  • The number of de ("of") in writing production of CSL learners is higher than that in oral production.

    “Chen and Liu (2016) found that the number of de (“of”) and zai (“in”) in writing production of CSL learners is higher than that in oral production.”

    From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Chen and Liu, 2016

  • In native Chinese speakers' production, degrees of de are higher than those of zai.

    “In addition, degrees of de are higher than those of zai, which is also found in native the production of Chinese speakers (Chen and Liu, 2016).”

    From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Chen and Liu, 2016

  • In CSL learners' production, degrees of de are higher than those of zai.

    “In addition, degrees of de are higher than those of zai, which is also found in native the production of Chinese speakers (Chen and Liu, 2016).”

    From Syntactic Networks of Interlanguage Across L2 Modalities and Proficiency Levels (2021) · cites this paper as Chen and Liu, 2016

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Authors
Chen, X., & Liu, H.
Affiliations
  • Xi'an Jiaotong University (CN)
  • Zhejiang University (CN)
Corresponding author
Chen, Xinying
Venue
Understanding Complex Systems
Published
2016
Pages
187-201
ISSN
  • 1860-0832 (ISSN-L)
  • 1860-0840
OpenAlex
W1412598712
Cited by
7
References
0
Citations by year
2026: 1 · 2025: 1 · 2021: 1 · 2020: 2 · 2017: 2
FWCI
2.65
Type
book chapter
Language
en
Open access
closed
Locations
Understanding complex systems (publishedVersion)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
  • Social Sciences › Arts and Humanities › Language and Linguistics › Syntax, Semantics, Linguistic Variation
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
Keywords
function words, Chinese syntax, complex networks, network centrality, node degree, betweenness centrality, closeness centrality, Chinese Treebank, word frequency, network density, register variation

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