Algorithms mention in full-text content of article from NLP domain: A comparative analysis between English and Chinese

Algorithms play an increasingly important role in scientific work, especially in data-driven research. Investigating the mention of algorithms in full-text paper helps us understand the use and development of algorithms in a specific domain. Current research on the mention of algorithms is limited to the academic papers in one language, which is hard to comprehensively investigate the use of algorithms. For example, in papers of Chinese conference, is the mention of algorithms consistent with it in English conference papers? In order to answer this question, this paper takes NLP as an example, and compares the mention frequency, mention location and mention time of the top10 data-mining algorithms between the papers of the famous international conference, Annual Meeting of the Association for Computational Linguistics (ACL), and the Chinese conference, China National Conference on Computational Linguistics (CCL). The results show that compared with ACL, the mention frequency of top10 data-mining algorithms in CCL is slightly lower and the mention time is slightly delayed, while the distribution of mention location is similar. This study can provide a reference for the research related to the mention, citation and evaluation of knowledge entities.