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

姫

Jōyō · KANJIDIC grade 8 · 10 strokes

princess

Find exact-kanji names →

Source rows containing both11

Distinct written forms5

Given-name readings11

Surname readings0

Adjacent 華姫 forms1

Adjacent 姫華 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

姫華理

Hikari

ひかり

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

姫華

Hina

ひな

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

華姫

Kazuki

かづき

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

姫華

Himeka

ひめか

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

華姫

Hazuki

はづき

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

幸姫華

Yukika

ゆきか

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

姫華

Himeko

ひめこ

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

月姫華

Tsukika

つきか

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

華姫

Hanabi

はなび

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

姫華

Kikka

きっか

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

華姫

Hanaki

はなき

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