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.
美
Jōyō · KANJIDIC grade 3 · 9 strokes
朝beauty, beautiful
Jōyō · KANJIDIC grade 2 · 12 strokes
Find exact-kanji names →morning, dynasty, regime
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
朝優美
3 source-recorded spellings in this reading group contain both 美 and 朝Given nameAyumi
あゆみ
今朝美
2 source-recorded spellings in this reading group contain both 美 and 朝Given nameAsami
あさみ
美朝来
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameMisaki
みさき
朝美
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameTomomi
ともみ
美朝
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameMinori
みのり
美朝
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameMisa
みさ
美朝子
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameMisako
みさこ
美朝
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameMia
みあ
朝美
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameTomoyoshi
ともよし
美朝
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameYoshitomo
よしとも
今朝美
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameKesami
けさみ
美朝
1 source-recorded spelling in this reading group contain both 美 and 朝Given nameMiasa
みあさ
富美朝
1 source-recorded spelling in this reading group contain both 美 and 朝Fumitomo
ふみとも
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.