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Examining Online Syntactic Processing of Spoken Complex Sentences in Chinese Using Dual-Modal Interference Tasks
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A Study on Differences between Simplified and Traditional Chinese Based on Complex Network Analysis of the Word
Zhongqiang Jiang1, Dongmei Zhao1, Jiangbin Zheng2,3
1China Mobile (Suzhou) Software Technology Co., Ltd., Suzhou, China.
Computational Intelligence and Neuroscience
|December 21, 2020
Summary
This study used complex network analysis to compare simplified and traditional Chinese word co-occurrence. Results show both languages are semantically consistent despite structural differences in their networks.
Area of Science:
- Computational Linguistics
- Natural Language Processing
- Complex Network Analysis
Background:
- Existing research on Chinese language variations often overlooks global differences, focusing only on character or lexical levels.
- Complex network analysis offers a novel approach to analyze global linguistic structures and differences.
Purpose of the Study:
- To investigate the global differences between simplified and traditional Chinese using word co-occurrence networks.
- To apply complex network analysis methods for a comprehensive comparison of simplified and traditional Chinese.
Main Methods:
- Construction of word co-occurrence networks for simplified and traditional Chinese news corpora.
- Application of complex network analysis techniques: network statistics, kernel lexicon comparison, and motif analysis.
- Comparative analysis of network properties to identify linguistic distinctions.
Main Results:
- Both simplified and traditional Chinese networks exhibit small-world and scale-free properties.
- Traditional Chinese networks tend to have more nodes, potentially due to one-to-many character mappings.
- Traditional Chinese kernel lexicons are larger, reflecting retained ancient words and fewer weak verbs.
- Motif analysis indicates semantic consistency between simplified and traditional Chinese.
Conclusions:
- Complex network analysis provides a global perspective on Chinese language variations.
- Despite structural network differences, simplified and traditional Chinese demonstrate semantic equivalence.
- The findings contribute to a deeper understanding of Chinese language evolution and structure.
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