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.
優
Jōyō · KANJIDIC grade 6 · 17 strokes
佳tenderness, excel, surpass
Jōyō · KANJIDIC grade 8 · 8 strokes
Find exact-kanji names →excellent, beautiful, good
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
亜優佳
5 source-recorded spellings in this reading group contain both 優 and 佳Given nameAyuka
あゆか
優佳利
3 source-recorded spellings in this reading group contain both 優 and 佳Given nameYukari
ゆかり
優佳
3 source-recorded spellings in this reading group contain both 優 and 佳Given nameYūka
ゆうか
優利佳
2 source-recorded spellings in this reading group contain both 優 and 佳Given nameYurika
ゆりか
真優佳
2 source-recorded spellings in this reading group contain both 優 and 佳Given nameMayuka
まゆか
珠優佳
2 source-recorded spellings in this reading group contain both 優 and 佳Given nameMiyuka
みゆか
優佳
1 source-recorded spelling in this reading group contain both 優 and 佳Given nameYuka
ゆか
優佳子
1 source-recorded spelling in this reading group contain both 優 and 佳Given nameYukako
ゆかこ
優佳
1 source-recorded spelling in this reading group contain both 優 and 佳Given nameHiroka
ひろか
優妃佳
1 source-recorded spelling in this reading group contain both 優 and 佳Given nameYukika
ゆきか
佳優
1 source-recorded spelling in this reading group contain both 優 and 佳Given nameKayū
かゆう
津優佳
1 source-recorded spelling in this reading group contain both 優 and 佳Given nameTsuyuka
つゆか
佳優奈
1 source-recorded spelling in this reading group contain both 優 and 佳Kayuna
かゆな
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.