This study constructs a systematic and quantifiable comparative framework to investigate the word-formation patterns of Internet slang in China and Japan by integrating quantitative text analysis with pre-trained language models (PLMs). Utilizing computational linguistics tools, we conducted fundamental metric analyses – including word frequency distribution, co-occurrence network modeling, and correspondence analysis – on large-scale corpora harvested from prominent social media platforms. Furthermore, the research introduces pre-trained models to transform core lexical items into high-dimensional semantic vectors, enabling advanced computations such as semantic similarity matrix construction, hierarchical clustering, and dimensionality reduction visualization. These methods allow for a deep exploration of the underlying semantic generation and association mechanisms of online neologisms. By comparing the divergences between the two, this study reveals the similarities and differences in linguistic innovation paths within Chinese and Japanese cyber-contexts, providing an empirical analytical framework for applying computational linguistics to the comparative study of dynamic sociolinguistic phenomena.
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Share and Cite
Gao, P. (2026) A Comparative Study of Word-Formation Patterns in Chinese and Japanese Internet Slang – A Computational Linguistics Perspective. Journal of Social Development and History, 2(1), 35-41.