Japanese Rhyme Generation Based on Mora Similarity and Generation Probability

Ryota Mibayashi, Takehiro Yamamoto, Hiroaki Ohshima

Abstract: This paper proposes a method for Japanese rhyme generation. A rhyme is defined as a pair of words with similar phonetic patterns and is widely used to enhance creative writing. To support creative writing, several rhyme search services are available on the web. However, these services typically rely on predefined word lists and search only for strict vowel-level matches. This approach limits their usefulness in creative applications. Therefore, this study proposes a Japanese rhyme generation method that supports not only strict vowel-level matches but also the generation of words outside predefined word lists. We use a GPT-2 model and control the token generation process to follow a given phoneme sequence, resulting in rhyme generation. The proposed method outperformed all other methods on 100 test inputs, achieving the best performance in both CER and mora similarity, and successfully generated rhymes for all test cases.

External IDs:dblp:conf/iiwas/MibayashiYO25