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.
香
Jōyō · KANJIDIC grade 4 · 9 strokes
野incense, smell, perfume
Jōyō · KANJIDIC grade 2 · 11 strokes
Find exact-kanji names →plains, field, rustic
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
咲野香
4 source-recorded spellings in this reading group contain both 香 and 野Given nameSayaka
さやか
野々香
3 source-recorded spellings in this reading group contain both 香 and 野Given nameNonoka
ののか
帆野香
2 source-recorded spellings in this reading group contain both 香 and 野Given nameHonoka
ほのか
野土香
2 source-recorded spellings in this reading group contain both 香 and 野Given nameNodoka
のどか
想野香
2 source-recorded spellings in this reading group contain both 香 and 野Given nameSonoka
そのか
香野子
1 source-recorded spelling in this reading group contain both 香 and 野Given nameKayako
かやこ
香野
1 source-recorded spelling in this reading group contain both 香 and 野Given nameKaya
かや
香野子
1 source-recorded spelling in this reading group contain both 香 and 野Given nameKanoko
かのこ
香野
1 source-recorded spelling in this reading group contain both 香 and 野Given nameKano
かの
野理香
1 source-recorded spelling in this reading group contain both 香 and 野Given nameNorika
のりか
里野香
1 source-recorded spelling in this reading group contain both 香 and 野Given nameRinoka
りのか
早野香
1 source-recorded spelling in this reading group contain both 香 and 野Given nameSanoka
さのか
野香
1 source-recorded spelling in this reading group contain both 香 and 野Yaka
やか
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.