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.

鈴

Jōyō · KANJIDIC grade 8 · 13 strokes

small bell, buzzer

菜

Jōyō · KANJIDIC grade 4 · 11 strokes

vegetable, side dish, greens

Find exact-kanji names →

Source rows containing both24

Distinct written forms20

Given-name readings11

Surname readings0

Adjacent 鈴菜 forms18

Adjacent 菜鈴 forms0

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

侑鈴菜

Yurina

ゆりな

13 source-recorded spellings in this reading group contain both 鈴 and 菜Given name

恵鈴菜

Erina

えりな

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

鈴菜

Rina

りな

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

鈴菜

Reina

れいな

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

鈴菜

Rena

れな

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

鈴央菜

Reona

れおな

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

亜鈴菜

Arina

ありな

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

七鈴菜

Nazuna

なずな

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

鈴菜

Suzuna

すずな

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

鈴菜

Rinna

りんな

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

鈴々菜

Ririna

りりな

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

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.