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.
実
Jōyō · KANJIDIC grade 3 · 8 strokes
南reality, truth, seed
Jōyō · KANJIDIC grade 2 · 9 strokes
Find exact-kanji names →south
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
南奈実
6 source-recorded spellings in this reading group contain both 実 and 南Given nameMinami
みなみ
伽南実
3 source-recorded spellings in this reading group contain both 実 and 南Given nameKanami
かなみ
南保実
2 source-recorded spellings in this reading group contain both 実 and 南Given nameNaomi
なおみ
小南実
2 source-recorded spellings in this reading group contain both 実 and 南Given nameKonami
こなみ
南実
1 source-recorded spelling in this reading group contain both 実 and 南Given nameNami
なみ
南実子
1 source-recorded spelling in this reading group contain both 実 and 南Given nameNamiko
なみこ
帆南実
1 source-recorded spelling in this reading group contain both 実 and 南Given nameHonami
ほなみ
陽南実
1 source-recorded spelling in this reading group contain both 実 and 南Given nameHinami
ひなみ
南帆実
1 source-recorded spelling in this reading group contain both 実 and 南Given nameNahomi
なほみ
柚実南
1 source-recorded spelling in this reading group contain both 実 and 南Given nameYumina
ゆみな
南実波
1 source-recorded spelling in this reading group contain both 実 and 南Given nameNamiha
なみは
南風実
1 source-recorded spelling in this reading group contain both 実 and 南Given nameNafumi
なふみ
実紗南
1 source-recorded spelling in this reading group contain both 実 and 南Misana
みさな
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.