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
澄reality, truth, seed
Jōyō · KANJIDIC grade 8 · 15 strokes
Find exact-kanji names →lucidity, be clear, clear
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
満澄実
4 source-recorded spellings in this reading group contain both 実 and 澄Given nameMasumi
ますみ
加澄実
4 source-recorded spellings in this reading group contain both 実 and 澄Given nameKasumi
かすみ
澄実恵
2 source-recorded spellings in this reading group contain both 実 and 澄Given nameSumie
すみえ
澄実礼
2 source-recorded spellings in this reading group contain both 実 and 澄Given nameSumire
すみれ
実澄樹
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameMizuki
みずき
可澄実
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameKazumi
かずみ
澄実子
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameSumiko
すみこ
澄実香
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameSumika
すみか
澄実
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameSumi
すみ
実澄
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameMisumi
みすみ
実澄
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameMizumi
みずみ
実澄枝
1 source-recorded spelling in this reading group contain both 実 and 澄Given nameMisue
みすえ
澄恵実
1 source-recorded spelling in this reading group contain both 実 and 澄Suemi
すえみ
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.