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.

奈

Jōyō · KANJIDIC grade 4 · 8 strokes

Nara, what?

佑

Jinmeiyō · KANJIDIC grade 9 · 7 strokes

help, assist

Find exact-kanji names →

Source rows containing both20

Distinct written forms18

Given-name readings11

Surname readings0

Adjacent 奈佑 forms2

Adjacent 佑奈 forms9

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

万佑奈

Mayuna

まゆな

5 source-recorded spellings in this reading group contain both 奈 and 佑Given name

佑奈

Yukina

ゆきな

3 source-recorded spellings in this reading group contain both 奈 and 佑Given name

佑莉奈

Yurina

ゆりな

2 source-recorded spellings in this reading group contain both 奈 and 佑Given name

亜佑奈

Ayuna

あゆな

2 source-recorded spellings in this reading group contain both 奈 and 佑Given name

佑依奈

Yuina

ゆいな

2 source-recorded spellings in this reading group contain both 奈 and 佑Given name

佑奈

Yūna

ゆうな

1 source-recorded spelling in this reading group contain both 奈 and 佑Given name

佑奈

Yuna

ゆな

1 source-recorded spelling in this reading group contain both 奈 and 佑Given name

奈佑

Nayu

なゆ

1 source-recorded spelling in this reading group contain both 奈 and 佑Given name

心佑奈

Miyuna

みゆな

1 source-recorded spelling in this reading group contain both 奈 and 佑Given name

佑美奈

Yumina

ゆみな

1 source-recorded spelling in this reading group contain both 奈 and 佑Given name

奈佑美

Nayumi

なゆみ

1 source-recorded spelling in this reading group contain both 奈 and 佑

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.