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.

千

Jōyō · KANJIDIC grade 1 · 3 strokes

thousand

早

Jōyō · KANJIDIC grade 1 · 6 strokes

early, fast

Find exact-kanji names →

Source rows containing both17

Distinct written forms15

Given-name readings12

Surname readings0

Adjacent 千早 forms7

Adjacent 早千 forms8

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

早千恵

Sachie

さちえ

4 source-recorded spellings in this reading group contain both 千 and 早Given name

千早登

Chisato

ちさと

2 source-recorded spellings in this reading group contain both 千 and 早Given name

千早

Chisaki

ちさき

2 source-recorded spellings in this reading group contain both 千 and 早Given name

早千子

Sachiko

さちこ

1 source-recorded spelling in this reading group contain both 千 and 早Given name

早千世

Sachiyo

さちよ

1 source-recorded spelling in this reading group contain both 千 and 早Given name

千早

Chisa

ちさ

1 source-recorded spelling in this reading group contain both 千 and 早Given name

千早子

Chisako

ちさこ

1 source-recorded spelling in this reading group contain both 千 and 早Given name

早千

Sachi

さち

1 source-recorded spelling in this reading group contain both 千 and 早Given name

千早

Chihaya

ちはや

1 source-recorded spelling in this reading group contain both 千 and 早Given name

千早恵

Chisae

ちさえ

1 source-recorded spelling in this reading group contain both 千 and 早Given name

早千水

Sachimi

さちみ

1 source-recorded spelling in this reading group contain both 千 and 早Given name

千早緒

Chisao

ちさお

1 source-recorded spelling in this reading group contain both 千 and 早

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.