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.

都

Jinmeiyō · KANJIDIC grade 10 · 11 strokes

capital, metropolis

世

Jōyō · KANJIDIC grade 3 · 5 strokes

generation, world, society

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Source rows containing both16

Distinct written forms15

Given-name readings12

Surname readings0

Adjacent 都世 forms11

Adjacent 世都 forms3

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

亜都世

Atsuyo

あつよ

3 source-recorded spellings in this reading group contain both 都 and 世Given name

千都世

Chitose

ちとせ

3 source-recorded spellings in this reading group contain both 都 and 世Given name

都茂世

Tomoyo

ともよ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

美都世

Mitsuyo

みつよ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

都世子

Toyoko

とよこ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

世都子

Setsuko

せつこ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

世都那

Setsuna

せつな

1 source-recorded spelling in this reading group contain both 都 and 世Given name

奈都世

Natsuyo

なつよ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

都世

Toyo

とよ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

眸都世

Mutsuyo

むつよ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

都世子

Toseko

とせこ

1 source-recorded spelling in this reading group contain both 都 and 世Given name

世都

Seto

せと

1 source-recorded spelling in this reading group contain both 都 and 世

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.