Antonym order in English and Chinese coordinate structures

Author:

Wu Shuqiong1ORCID,Zhang Jie1

Affiliation:

1. Sichuan International Studies University

Abstract

Abstract This study presents a contrastive analysis of antonym order in English and Chinese coordinate structures using a multifactorial corpus method. The analysis yields the following findings. First, antonym ordering in coordinate structures is driven largely by the same ordering constraints across the two languages. Chronology and Positivity are the most prominent semantic motivating constraints, and Morphology is the most important formal motivating constraint. Second, there are some differences in constraints on antonym ordering between English and Chinese. Age and Gender exert a significant effect on Chinese antonym ordering, but show no effect on English antonym ordering. Hierarchical Superiority significantly affects Chinese antonym ordering, but has only a marginal effect on English antonym ordering. Furthermore, this study explores the motivations underlying these similarities and differences and argues that there is a clear correlation between iconicity and antonym order. The exploration reveals that their similarities in semantic constraints may be attributed to the iconicity of closeness and the iconicity of temporal sequence, while their differences may be ascribed to the iconicity of cultural values and norms. Their similarities in formal constraints stem from cognitive accessibility. These findings provide further evidence that antonym order is determined by general cognitive principles.

Publisher

John Benjamins Publishing Company

Subject

Linguistics and Language,Developmental and Educational Psychology,Language and Linguistics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sequential order of antonym pairs in Modern Standard Arabic: A corpus-based analysis;Lingua;2024-07

2. Research on English Semantic Intelligent Analysis System Based on Neural Network Algorithm;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22

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