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.

菜

Jōyō · KANJIDIC grade 4 · 11 strokes

vegetable, side dish, greens

姫

Jōyō · KANJIDIC grade 8 · 10 strokes

princess

Find exact-kanji names →

Source rows containing both12

Distinct written forms9

Given-name readings11

Surname readings0

Adjacent 菜姫 forms4

Adjacent 姫菜 forms4

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

姫菜

Hinano

ひなの

2 source-recorded spellings in this reading group contain both 菜 and 姫Given name

海菜姫

Misaki

みさき

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

雪姫菜

Yukina

ゆきな

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

姫菜

Hina

ひな

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

姫菜子

Hinako

ひなこ

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

菜姫

Nagi

なぎ

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

姫菜

Himena

ひめな

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

陽菜姫

Hinaki

ひなき

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

姫菜

Kina

きな

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

香菜姫

Kanaki

かなき

1 source-recorded spelling in this reading group contain both 菜 and 姫Given name

姫衣菜

Kīna

きいな

1 source-recorded spelling in this reading group contain both 菜 and 姫

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.