Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7382392 | Physica A: Statistical Mechanics and its Applications | 2014 | 9 Pages |
Abstract
The evolution of Chinese language has three main features: the total number of characters is gradually increasing, new words are generated in the existing characters, and some old words are no longer used in daily-life language. Based on the features, we propose an evolving language network model. Finally, we use this model to simulate the character co-occurrence networks (nodes are characters, and two characters are connected by an edge if they are adjacent to each other) constructed from essays in 11 different periods of China, and find that characters that appear with high frequency in old words are likely to be reused when new words are formed.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Wei Liang, Yuming Shi, Qiuling Huang,