The Complex System of Sentence-Final Particles in Mandarin Chinese

In recent years, the study of grammatical complexity has been marching forward, especially the idea of hidden complexity, which measures the optionality and context dependence of grammatical categories. Mandarin Chinese is notable for its grammar high in both overt and hidden complexities, and its sentence-final particles (SFP) system is prime example for such complexity. Many debates arose around the Mandarin SFPs, but few resulted in consensus. In this article, we will review previous discussions on the SFP system and build a complete summary and theoretic framework for it from a generative approach based on previous works. Most importantly, we propose a new hierarchical structure for the SFPs: AspMirP < FocP (< NomP < CondP) < ForceP < AttP1 < AttP2 < RespP. We will then test our theory with some commonly identified properties of SFPs and extreme cases.

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Publication Details

Journal
Journal of Student Research
Published
2025-02-28
DOI
https://doi.org/10.47611/jsrhs.v14i1.8622
Primary Topic
Syntax, Semantics, Linguistic Variation
Type
article
Field-Weighted Citation Impact
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article

The Complex System of Sentence-Final Particles in Mandarin Chinese

Yucheng Zhu, Ekarina Winarto
Journal of Student Research
Syntax, Semantics, Linguistic Variation
article

The Complex System of Sentence-Final Particles in Mandarin Chinese

Yucheng Zhu, Ekarina Winarto
article en

Abstract

In recent years, the study of grammatical complexity has been marching forward, especially the idea of hidden complexity, which measures the optionality and context dependence of grammatical categories. Mandarin Chinese is notable for its grammar high in both overt and hidden complexities, and its sentence-final particles (SFP) system is prime example for such complexity. Many debates arose around the Mandarin SFPs, but few resulted in consensus. In this article, we will review previous discussions on the SFP system and build a complete summary and theoretic framework for it from a generative approach based on previous works. Most importantly, we propose a new hierarchical structure for the SFPs: AspMirP < FocP (< NomP < CondP) < ForceP < AttP1 < AttP2 < RespP. We will then test our theory with some commonly identified properties of SFPs and extreme cases.

Journal of Student ResearchVol. 14(1)
United States Government Accountability Office (US)
Openalex Percentile: Top 72%
Syntax, Semantics, Linguistic Variation
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