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.

早

Jōyō · KANJIDIC grade 1 · 6 strokes

early, fast

奈

Jōyō · KANJIDIC grade 4 · 8 strokes

Nara, what?

Find exact-kanji names →

Source rows containing both20

Distinct written forms19

Given-name readings12

Surname readings0

Adjacent 早奈 forms12

Adjacent 奈早 forms0

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

早奈恵

Sanae

さなえ

4 source-recorded spellings in this reading group contain both 早 and 奈Given name

亜早奈

Asana

あさな

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

早奈

Sakina

さきな

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

早智奈

Sachina

さちな

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

李早奈

Risana

りさな

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

早里奈

Serina

せりな

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

早奈

Sana

さな

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

早奈美

Sanami

さなみ

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

早莉奈

Sarina

さりな

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

早奈子

Sanako

さなこ

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

早唯奈

Sayuna

さゆな

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

早亜奈

Sāna

さあな

1 source-recorded spelling in this reading group contain both 早 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.