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.
里
Jōyō · KANJIDIC grade 2 · 7 strokes
夢ri, village, parent's home
Jōyō · KANJIDIC grade 5 · 13 strokes
Find exact-kanji names →dream, vision, illusion
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
里寿夢
3 source-recorded spellings in this reading group contain both 里 and 夢Given nameRizumu
りずむ
夢向里
2 source-recorded spellings in this reading group contain both 里 and 夢Given nameYūri
ゆうり
夢里奈
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameYurina
ゆりな
夢里香
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameYurika
ゆりか
夢里
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameYuri
ゆり
夢里子
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameYuriko
ゆりこ
実夢里
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameMiyuri
みゆり
夢里
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameMeri
めり
里夢
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameRimu
りむ
万夢里
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameBanri
ばんり
久里夢
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameKurimu
くりむ
万里夢
1 source-recorded spelling in this reading group contain both 里 and 夢Given nameMarimu
まりむ
恵里夢
1 source-recorded spelling in this reading group contain both 里 and 夢Erimu
えりむ
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.