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.

絵

Jōyō · KANJIDIC grade 2 · 12 strokes

picture, drawing, painting

佐

Jōyō · KANJIDIC grade 4 · 7 strokes

assistant, help

Find exact-kanji names →

Source rows containing both19

Distinct written forms19

Given-name readings11

Surname readings0

Adjacent 絵佐 forms0

Adjacent 佐絵 forms17

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

亜佐絵

Asae

あさえ

4 source-recorded spellings in this reading group contain both 絵 and 佐Given name

万佐絵

Masae

まさえ

3 source-recorded spellings in this reading group contain both 絵 and 佐Given name

以佐絵

Isae

いさえ

3 source-recorded spellings in this reading group contain both 絵 and 佐Given name

佐智絵

Sachie

さちえ

2 source-recorded spellings in this reading group contain both 絵 and 佐Given name

佐絵

Sae

さえ

1 source-recorded spelling in this reading group contain both 絵 and 佐Given name

佐絵子

Saeko

さえこ

1 source-recorded spelling in this reading group contain both 絵 and 佐Given name

比佐絵

Hisae

ひさえ

1 source-recorded spelling in this reading group contain both 絵 and 佐Given name

美佐絵

Misae

みさえ

1 source-recorded spelling in this reading group contain both 絵 and 佐Given name

佐絵里

Saeri

さえり

1 source-recorded spelling in this reading group contain both 絵 and 佐Given name

佐絵美

Saemi

さえみ

1 source-recorded spelling in this reading group contain both 絵 and 佐Given name

貴佐絵

Kisae

きさえ

1 source-recorded spelling in this reading group contain both 絵 and 佐

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.