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.
萌
Jinmeiyō · KANJIDIC grade 9 · 11 strokes
香show symptoms of, sprout, bud
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
望萌香
5 source-recorded spellings in this reading group contain both 萌 and 香Given nameMomoka
ももか
萌会香
4 source-recorded spellings in this reading group contain both 萌 and 香Given nameMoeka
もえか
萌丹香
4 source-recorded spellings in this reading group contain both 萌 and 香Given nameMonika
もにか
萌乃香
3 source-recorded spellings in this reading group contain both 萌 and 香Given nameHonoka
ほのか
冬萌香
2 source-recorded spellings in this reading group contain both 萌 and 香Given nameTomoka
ともか
萌咲香
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameMasako
まさこ
香奈萌
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameKaname
かなめ
萌香
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameMoka
もか
萌々香
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameMomoko
ももこ
萌香
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameMoeko
もえこ
友萌香
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameYumeka
ゆめか
萌香
1 source-recorded spelling in this reading group contain both 萌 and 香Given nameMoyuka
もゆか
萌奈香
1 source-recorded spelling in this reading group contain both 萌 and 香Monaka
もなか
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.