Feature Analyses for Catchphrases Using Multiple Corpora

Abstract

Catchphrases attract attention in a form of concise expressions; however, there are few researches which investigate them using the knowledge of natural language processing. First, for the analysis based on language engineering, we employed a catchphrase corpus containing 6,466 catchphrases, an encyclopedia corpus, a blog corpus and a dialog corpus. Moreover, we conducted an analysis on each theme for revealing the difference between themes on the catchphrase corpus. The result from the language engineering shows that forward parts of speeches tagging in the catchphrase corpus are similar to those of both the encyclopedia and blog corpora. In terms of backward parts of speeches tagging, a lot of catchphrases end with nouns, which differentiates the other corpora. In addition, for each theme in catchphrase corpus, we found that specific words such as “taste” and “skin” frequently appear.