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.

祐

Jinmeiyō · KANJIDIC grade 9 · 10 strokes

help

奈

Jōyō · KANJIDIC grade 4 · 8 strokes

Nara, what?

Find exact-kanji names →

Source rows containing both24

Distinct written forms22

Given-name readings11

Surname readings0

Adjacent 祐奈 forms4

Adjacent 奈祐 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

祐令奈

Yurina

ゆりな

12 source-recorded spellings in this reading group contain both 祐 and 奈Given name

祐希奈

Yukina

ゆきな

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

亜祐奈

Ayuna

あゆな

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

祐奈

Yūna

ゆうな

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

祐奈

Yuna

ゆな

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

祐衣奈

Yuina

ゆいな

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

祐香奈

Yukana

ゆかな

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

真祐奈

Mayuna

まゆな

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

祐奈

Hirona

ひろな

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

奈緒祐

Naohiro

なおひろ

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

奈祐子

Nayuko

なゆこ

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

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.