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.

成

Jōyō · KANJIDIC grade 4 · 6 strokes

turn into, become, get

実

Jōyō · KANJIDIC grade 3 · 8 strokes

reality, truth, seed

Find exact-kanji names →

Source rows containing both13

Distinct written forms8

Given-name readings12

Surname readings0

Adjacent 成実 forms4

Adjacent 実成 forms4

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

実成好

Minako

みなこ

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

真成実

Manami

まなみ

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

実成

Mina

みな

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

成実

Nami

なみ

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

成実子

Namiko

なみこ

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

成実

Narumi

なるみ

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

萌成実

Monami

もなみ

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

実成歩

Minaho

みなほ

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

成実

Narimi

なりみ

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

実成

Minari

みなり

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

実成

Mitsunari

みつなり

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

実成

Jitsujō

じつじょう

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

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.