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.
夢
Jōyō · KANJIDIC grade 5 · 13 strokes
花dream, vision, illusion
Jōyō · KANJIDIC grade 1 · 7 strokes
Find exact-kanji names →flower
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
夢花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYuka
ゆか
夢羽花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYūka
ゆうか
愛夢花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameAyuka
あゆか
夢梨花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYurika
ゆりか
真夢花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameMayuka
まゆか
夢花子
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYukako
ゆかこ
夢美花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYumika
ゆみか
夢見花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameEmika
えみか
夢花奈
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYukana
ゆかな
夢花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameYumeka
ゆめか
未夢花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameMiyuka
みゆか
咲夢花
1 source-recorded spelling in this reading group contain both 夢 and 花Given nameSayuka
さゆか
花夢衣
1 source-recorded spelling in this reading group contain both 夢 and 花Kamui
かむい
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.