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.
世
Jōyō · KANJIDIC grade 3 · 5 strokes
衣generation, world, society
Jōyō · KANJIDIC grade 4 · 6 strokes
Find exact-kanji names →garment, clothes, dressing
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
衣佐世
6 source-recorded spellings in this reading group contain both 世 and 衣Given nameIsayo
いさよ
衣久世
4 source-recorded spellings in this reading group contain both 世 and 衣Given nameIkuyo
いくよ
世衣来
2 source-recorded spellings in this reading group contain both 世 and 衣Given nameSeira
せいら
世衣佳
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameSeika
せいか
衣世子
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameIyoko
いよこ
衣世
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameIyo
いよ
衣世子
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameIseko
いせこ
衣世子
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameSoyoko
そよこ
衣世
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameKinuyo
きぬよ
衣世梨
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameIyori
いより
衣璃世
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameErize
えりぜ
詩衣世
1 source-recorded spelling in this reading group contain both 世 and 衣Given nameUise
ういせ
衣麻世
1 source-recorded spelling in this reading group contain both 世 and 衣Imayo
いまよ
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.