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.

知

Jōyō · KANJIDIC grade 2 · 8 strokes

know, wisdom

枝

Jōyō · KANJIDIC grade 5 · 8 strokes

bough, branch, twig

Find exact-kanji names →

Source rows containing both14

Distinct written forms11

Given-name readings11

Surname readings0

Adjacent 知枝 forms7

Adjacent 枝知 forms1

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

実知枝

Michie

みちえ

2 source-recorded spellings in this reading group contain both 知 and 枝Given name

知郁枝

Chikae

ちかえ

2 source-recorded spellings in this reading group contain both 知 and 枝Given name

知枝

Tomoe

ともえ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

知枝美

Chiemi

ちえみ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

佐知枝

Sachie

さちえ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

知枝子

Chieko

ちえこ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

知枝

Chie

ちえ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

知枝子

Chīko

ちいこ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

知枝里

Chieri

ちえり

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

枝知子

Echiko

えちこ

1 source-recorded spelling in this reading group contain both 知 and 枝Given name

知津枝

Chizue

ちずえ

1 source-recorded spelling in this reading group contain both 知 and 枝

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.