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.
夢
Jōyō · KANJIDIC grade 5 · 13 strokes
歩dream, vision, illusion
Jōyō · KANJIDIC grade 2 · 8 strokes
Find exact-kanji names →walk, counter for steps
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
歩夢実
2 source-recorded spellings in this reading group contain both 夢 and 歩Given nameAyumi
あゆみ
歩夢叶
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameAyuka
あゆか
歩夢
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameAyu
あゆ
夢歩
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameYua
ゆあ
歩夢
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameAmu
あむ
歩夢
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameAyumu
あゆむ
夢歩
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameYuno
ゆの
夢歩
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameYuho
ゆほ
歩夢
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameAyume
あゆめ
歩夢望
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameAyuno
あゆの
未夢歩
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameMiyua
みゆあ
夢歩
1 source-recorded spelling in this reading group contain both 夢 and 歩Given nameMūa
むうあ
夢歩
1 source-recorded spelling in this reading group contain both 夢 and 歩Yumeho
ゆめほ
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.