Web Catchphrase Improve System Employing Onomatopoeia and Large-Scale N-gram Corpus

In this paper, we propose a system which improves text catchphrases on the web using onomatopoeia and the Japanese Google N-grams. Onomatopoeia is regarded as a fundamental tool in daily communication for people. The proposed system inserts an onomatopoetic word into plain text catchphrases. Being based on a large catchphrase encyclopedia, the proposed system evaluates each catchphrase’s candidates considering the words, structure and usage of onomatopoeia. That is, candidates are selected whether they contain onomatopoeia and they use specific catchphrase grammatical structures. Subjective experiments show that inserted onomatopoeia is effective for making attractive catchphrases.