Temporal Aspects of Terminology for Automatic Term Recognition: Case Study on Women’s Studies Terms

AbstractThe purpose of this paper is to clarify the temporal aspect of terminology focusing on the dictionary’s impact on terms. We used women’s studies terms as data and examined the changes of their values of five automatic term recognition (ATR) measures before and after dictionary publication. The changes of precision and recall of extraction based on these measures were also examined. The measures are TFIDF, C-value, MC-value, Nakagawa’s FLR, and simple document frequencies. We found that being listed in dictionaries gives longevity to terms and prevent them from losing termhood that is represented by these ATR measures. The peripheral or relatively less important terms are more likely to be influenced by dictionaries and their termhood increase after being listed in dictionaries. Among the termhood, the potential of word formation that can be measured by Nakagawa’s FLR seemed to be influenced most and the terms gradually gained it after being listed in dictionaries.