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.

華

Jōyō · KANJIDIC grade 8 · 10 strokes

splendor, flower, petal

枝

Jōyō · KANJIDIC grade 5 · 8 strokes

bough, branch, twig

Find exact-kanji names →

Source rows containing both18

Distinct written forms16

Given-name readings11

Surname readings0

Adjacent 華枝 forms3

Adjacent 枝華 forms6

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

枝利華

Erika

えりか

5 source-recorded spellings in this reading group contain both 華 and 枝Given name

亜枝華

Aeka

あえか

3 source-recorded spellings in this reading group contain both 華 and 枝Given name

華奈枝

Kanae

かなえ

2 source-recorded spellings in this reading group contain both 華 and 枝Given name

華枝

Kae

かえ

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

華枝子

Kaeko

かえこ

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

華枝

Harue

はるえ

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

咲枝華

Saeka

さえか

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

華枝

Hanae

はなえ

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

佐華枝

Sakae

さかえ

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

千枝華

Chieka

ちえか

1 source-recorded spelling in this reading group contain both 華 and 枝Given name

枝華

Ehana

えはな

1 source-recorded spelling in this reading group contain both 華 and 枝

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.