A comparative study on the names of higher education institutions in China and the United States: quantitative linguistic approaches

This study adopts quantitative methods to analyze the linguistic features of the names of higher education institutions in China and the United States (US). The findings reveal both similarities and differences in the university names of the two countries. Firstly, the Zipf-Mandelbrot law is found to govern the distributions of university names in both countries. Secondly, in terms of word frequency, the findings show that US university names contain more personal names and religious terms than Chinese university names. In addition, the results of entropy values show that the naming pattern of US universities is more diversified than that of Chinese universities, which may be related to the decentralized, market-oriented governance structure of US higher education and its multicultural social context. We discuss the practical implications for natural language processing tasks, such as named-entity recognition and vocabulary compression. We also discuss the methodological implications for future onomastic research, highlighting the value of integrating corpus linguistic techniques with quantitative onomastics.