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.

乃

Jinmeiyō · KANJIDIC grade 9 · 2 strokes

from, possessive particle, whereupon

絵

Jōyō · KANJIDIC grade 2 · 12 strokes

picture, drawing, painting

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Source rows containing both16

Distinct written forms16

Given-name readings11

Surname readings0

Adjacent 乃絵 forms8

Adjacent 絵乃 forms4

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

佑絵乃

Yueno

ゆえの

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

乃絵瑠

Noeru

のえる

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

乃絵実

Noemi

のえみ

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

乃絵花

Noeka

のえか

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

乃里絵

Norie

のりえ

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

乃婦絵

Nobue

のぶえ

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

乃絵

Noe

のえ

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

智絵乃

Chieno

ちえの

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

絵梨乃

Erino

えりの

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

絵弥乃

Emino

えみの

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

乃絵里

Noeri

のえり

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

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.