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.
三
Jōyō · KANJIDIC grade 1 · 3 strokes
香three
Jōyō · KANJIDIC grade 4 · 9 strokes
Find exact-kanji names →incense, smell, perfume
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
三香恵
3 source-recorded spellings in this reading group contain both 三 and 香Given nameMikae
みかえ
香三朗
2 source-recorded spellings in this reading group contain both 三 and 香Given nameKyōsaburō
きょうさぶろう
二三香
2 source-recorded spellings in this reading group contain both 三 and 香Given nameFumika
ふみか
奈三香
2 source-recorded spellings in this reading group contain both 三 and 香Given nameNamika
なみか
香三朗
2 source-recorded spellings in this reading group contain both 三 and 香Given nameKyōzaburō
きょうざぶろう
三香
1 source-recorded spelling in this reading group contain both 三 and 香Given nameMika
みか
三香子
1 source-recorded spelling in this reading group contain both 三 and 香Given nameMikako
みかこ
三千香
1 source-recorded spelling in this reading group contain both 三 and 香Given nameMichika
みちか
香久三
1 source-recorded spelling in this reading group contain both 三 and 香Given nameKakumi
かくみ
三香
1 source-recorded spelling in this reading group contain both 三 and 香Given nameMitsuka
みつか
香久三
1 source-recorded spelling in this reading group contain both 三 and 香Given nameKakuzō
かくぞう
三香男
1 source-recorded spelling in this reading group contain both 三 and 香Given nameMikao
みかお
三香
1 source-recorded spelling in this reading group contain both 三 and 香Sankō
さんこう
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.