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.

実

Jōyō · KANJIDIC grade 3 · 8 strokes

reality, truth, seed

早

Jōyō · KANJIDIC grade 1 · 6 strokes

early, fast

Find exact-kanji names →

Source rows containing both22

Distinct written forms22

Given-name readings12

Surname readings0

Adjacent 実早 forms5

Adjacent 早実 forms10

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

亜早実

Asami

あさみ

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

以早実

Isami

いさみ

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

実早希

Misaki

みさき

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

早友実

Sayumi

さゆみ

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

早苗実

Sanami

さなみ

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

早冬実

Satomi

さとみ

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

早得実

Saemi

さえみ

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

実早代

Misayo

みさよ

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

早季実

Sakimi

さきみ

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

早実香

Samika

さみか

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

実早

Mihaya

みはや

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

早実恵

Samie

さみえ

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

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.