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.
有
Jōyō · KANJIDIC grade 3 · 6 strokes
真possess, have, exist
Jōyō · KANJIDIC grade 3 · 10 strokes
Find exact-kanji names →true, reality, Buddhist sect
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
真有未
2 source-recorded spellings in this reading group contain both 有 and 真Given nameMayumi
まゆみ
真有佳
2 source-recorded spellings in this reading group contain both 有 and 真Given nameMayuka
まゆか
真有
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMasumi
ますみ
真有
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMayu
まゆ
真有子
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMayuko
まゆこ
真有
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMiu
みう
有真
1 source-recorded spelling in this reading group contain both 有 and 真Given nameYuma
ゆま
真有里
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMayuri
まゆり
真有
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMayū
まゆう
真布有
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMafuyu
まふゆ
有真
1 source-recorded spelling in this reading group contain both 有 and 真Given nameYūma
ゆうま
真有
1 source-recorded spelling in this reading group contain both 有 and 真Given nameMau
まう
有真
1 source-recorded spelling in this reading group contain both 有 and 真Yūshin
ゆうしん
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.