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.

麻

Jōyō · KANJIDIC grade 8 · 11 strokes

hemp, flax, numb

花

Jōyō · KANJIDIC grade 1 · 7 strokes

flower

Find exact-kanji names →

Source rows containing both24

Distinct written forms23

Given-name readings11

Surname readings0

Adjacent 麻花 forms1

Adjacent 花麻 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

麻冬花

Madoka

まどか

6 source-recorded spellings in this reading group contain both 麻 and 花Given name

麻理花

Marika

まりか

4 source-recorded spellings in this reading group contain both 麻 and 花Given name

麻佑花

Mayuka

まゆか

3 source-recorded spellings in this reading group contain both 麻 and 花Given name

麻愛花

Maika

まいか

3 source-recorded spellings in this reading group contain both 麻 and 花Given name

麻夏花

Manaka

まなか

2 source-recorded spellings in this reading group contain both 麻 and 花Given name

麻花

Asaka

あさか

1 source-recorded spelling in this reading group contain both 麻 and 花Given name

麻由花

Ayuka

あゆか

1 source-recorded spelling in this reading group contain both 麻 and 花Given name

麻美花

Mamika

まみか

1 source-recorded spelling in this reading group contain both 麻 and 花Given name

麻智花

Machika

まちか

1 source-recorded spelling in this reading group contain both 麻 and 花Given name

麻乃花

Manoka

まのか

1 source-recorded spelling in this reading group contain both 麻 and 花Given name

麻舞花

Mamaka

ままか

1 source-recorded spelling in this reading group contain both 麻 and 花

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.