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.
希
Jōyō · KANJIDIC grade 4 · 7 strokes
菜hope, beg, request
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
優希菜
8 source-recorded spellings in this reading group contain both 希 and 菜Given nameYukina
ゆきな
亜希菜
5 source-recorded spellings in this reading group contain both 希 and 菜Given nameAkina
あきな
菜月希
3 source-recorded spellings in this reading group contain both 希 and 菜Given nameNatsuki
なつき
朝希菜
2 source-recorded spellings in this reading group contain both 希 and 菜Given nameSakina
さきな
菜実希
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameNamiki
なみき
希世菜
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameKiyona
きよな
真希菜
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameMakina
まきな
妃菜希
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameHinaki
ひなき
緒希菜
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameOkina
おきな
希菜
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameNona
のな
希紅菜
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameKikuna
きくな
菜希亜
1 source-recorded spelling in this reading group contain both 希 and 菜Given nameNakia
なきあ
瑠希菜
1 source-recorded spelling in this reading group contain both 希 and 菜Rukina
るきな
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.