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
以reality, truth, seed
Jōyō · KANJIDIC grade 4 · 5 strokes
Find exact-kanji names →by means of, because, in view of
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
以佐実
6 source-recorded spellings in this reading group contain both 実 and 以Given nameIsami
いさみ
以久実
3 source-recorded spellings in this reading group contain both 実 and 以Given nameIkumi
いくみ
以寿実
3 source-recorded spellings in this reading group contain both 実 and 以Given nameIzumi
いずみ
以津実
2 source-recorded spellings in this reading group contain both 実 and 以Given nameItsumi
いつみ
実良以
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMirai
みらい
実以奈
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMīna
みいな
実以子
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMīko
みいこ
実以
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMinī
みにい
実里以
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMirī
みりい
以実子
1 source-recorded spelling in this reading group contain both 実 and 以Given nameImiko
いみこ
実由以
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMiyui
みゆい
実以香
1 source-recorded spelling in this reading group contain both 実 and 以Given nameMīka
みいか
以緒実
1 source-recorded spelling in this reading group contain both 実 and 以Iomi
いおみ
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.