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.
緒
Jōyō · KANJIDIC grade 8 · 14 strokes
菜thong, beginning, inception
Jōyō · KANJIDIC grade 4 · 11 strokes
Find exact-kanji names →vegetable, side dish, greens
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
怜緒菜
4 source-recorded spellings in this reading group contain both 緒 and 菜Given nameReona
れおな
理緒菜
4 source-recorded spellings in this reading group contain both 緒 and 菜Given nameRiona
りおな
伊緒菜
3 source-recorded spellings in this reading group contain both 緒 and 菜Given nameIona
いおな
南菜緒
2 source-recorded spellings in this reading group contain both 緒 and 菜Given nameNanao
ななお
緒希菜
2 source-recorded spellings in this reading group contain both 緒 and 菜Given nameOkina
おきな
菜緒美
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameNaomi
なおみ
菜緒子
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameNaoko
なおこ
菜緒
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameNao
なお
素菜緒
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameSunao
すなお
菜緒季
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameNaoki
なおき
菜緒佳
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameNaoka
なおか
実菜緒
1 source-recorded spelling in this reading group contain both 緒 and 菜Given nameMinao
みなお
菜緒衣
1 source-recorded spelling in this reading group contain both 緒 and 菜Naoi
なおい
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.