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.
智
Jinmeiyō · KANJIDIC grade 9 · 12 strokes
世wisdom, intellect, reason
Jōyō · KANJIDIC grade 3 · 5 strokes
Find exact-kanji names →generation, world, society
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
佐智世
4 source-recorded spellings in this reading group contain both 智 and 世Given nameSachiyo
さちよ
智世恵
3 source-recorded spellings in this reading group contain both 智 and 世Given nameChiyoe
ちよえ
智斗世
2 source-recorded spellings in this reading group contain both 智 and 世Given nameChitose
ちとせ
美智世
1 source-recorded spelling in this reading group contain both 智 and 世Given nameMichiyo
みちよ
智世
1 source-recorded spelling in this reading group contain both 智 and 世Given nameChie
ちえ
智世
1 source-recorded spelling in this reading group contain both 智 and 世Given nameTomoyo
ともよ
智世美
1 source-recorded spelling in this reading group contain both 智 and 世Given nameChiyomi
ちよみ
智世子
1 source-recorded spelling in this reading group contain both 智 and 世Given nameChiyoko
ちよこ
智世
1 source-recorded spelling in this reading group contain both 智 and 世Given nameChiyo
ちよ
智佳世
1 source-recorded spelling in this reading group contain both 智 and 世Given nameChikayo
ちかよ
智世
1 source-recorded spelling in this reading group contain both 智 and 世Given nameChise
ちせ
世智子
1 source-recorded spelling in this reading group contain both 智 and 世Given nameSechiko
せちこ
理智世
1 source-recorded spelling in this reading group contain both 智 and 世Richiyo
りちよ
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.