基于文献计量的中文科技新词探讨

文章以中国知网的中文学术文献数据库为基础,利用词频统计,结合时间参数,对中文科技新词做了探讨。文章认为,高被引论文的关键词包含了专业领域的重要中文科技名词。统计结果表明,大部分高被引论文为基金论文。由于基金论文在全部论文中所占比例较低,因此,不需要考虑全部新论文,只要对其中基金论文的关键词做词频统计,就有助于发现大部分重要中文科技新词。这样,既减少了工作量,也减少了盲目性。此项工作对科研工作者和术语工作者有一定帮助。

Discussion on the Chinese Scientific Neologism Based on Bibliometrics

This paper discusses the Chinese scientific neologisms based on the academic literature database of CNKI by use of the word frequency statistics considering time parameter. The author propose that important Chinese scientific terms are included in the keywords of highly cited papers, and our statistical results show that the most of highly cited papers are funded papers. So, most of important Chinese scientific neologisms can be found by term frequency statistics based on the keywords of funded papers. Considering the proportion of funded papers is relatively small, we think this method can reduce the workload and blindness.