Corpus composition research
Kanji Pair Research
Enter one kanji to discover other characters recorded in the same JMnedict name spellings, or enter two kanji to inspect that exact co-occurrence. Every count in this research view describes the imported corpus—not population popularity in Japan.
規
Jōyō · KANJIDIC grade 5 · 11 strokes
美standard, measure
Jōyō · KANJIDIC grade 3 · 9 strokes
Find exact-kanji names →beauty, beautiful
Recorded names
Name readings containing both characters
The pair only has to occur in the same written form; the two kanji are not required to be adjacent unless counted in the adjacency statistics above.
Given name
美優規
3 source-recorded spellings in this reading group contain both 規 and 美Given nameMiyuki
みゆき
規予美
2 source-recorded spellings in this reading group contain both 規 and 美Given nameKiyomi
きよみ
規美世
2 source-recorded spellings in this reading group contain both 規 and 美Given nameKimiyo
きみよ
規久美
2 source-recorded spellings in this reading group contain both 規 and 美Given nameKikumi
きくみ
美規
1 source-recorded spelling in this reading group contain both 規 and 美Given nameMiki
みき
美規
1 source-recorded spelling in this reading group contain both 規 and 美Given nameMinori
みのり
規美子
1 source-recorded spelling in this reading group contain both 規 and 美Given nameKimiko
きみこ
美規子
1 source-recorded spelling in this reading group contain both 規 and 美Given nameMikiko
みきこ
友規美
1 source-recorded spelling in this reading group contain both 規 and 美Given nameYukimi
ゆきみ
規美生
1 source-recorded spelling in this reading group contain both 規 and 美Given nameKimio
きみお
美規代
1 source-recorded spelling in this reading group contain both 規 and 美Given nameMikiyo
みきよ
規美
1 source-recorded spelling in this reading group contain both 規 and 美Given nameNorimi
のりみ
規美敏
1 source-recorded spelling in this reading group contain both 規 and 美Kimitoshi
きみとし
Evidence boundary
Co-occurrence is not popularity or etymology
The pair relation comes from exact JMnedict source rows through the compact kanji-usage index. KANJIDIC2 contributes character metadata only. A high corpus count can reflect dictionary coverage and should not be read as a national usage frequency.