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

依

Jōyō · KANJIDIC grade 8 · 8 strokes

reliant, depend on, consequently

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Source rows containing both20

Distinct written forms19

Given-name readings11

Surname readings0

Adjacent 乃依 forms3

Adjacent 依乃 forms11

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

依久乃

Ikuno

いくの

5 source-recorded spellings in this reading group contain both 乃 and 依Given name

亜依乃

Aino

あいの

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

優依乃

Yueno

ゆえの

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

乃依瑠

Noeru

のえる

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

乃依

Noe

のえ

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

依乃里

Inori

いのり

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

乃依

Noi

のい

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

由依乃

Yuino

ゆいの

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

志依乃

Shīno

しいの

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

李依乃

Rīno

りいの

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

依乃

Eno

えの

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

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.