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.

鈴

Jōyō · KANJIDIC grade 8 · 13 strokes

small bell, buzzer

実

Jōyō · KANJIDIC grade 3 · 8 strokes

reality, truth, seed

Find exact-kanji names →

Source rows containing both11

Distinct written forms6

Given-name readings11

Surname readings0

Adjacent 鈴実 forms3

Adjacent 実鈴 forms2

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

実鈴

Minori

みのり

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

鈴実

Risa

りさ

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

実鈴

Misuzu

みすず

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

実鈴

Miri

みり

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

亜鈴実

Arimi

ありみ

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

鈴実

Reimi

れいみ

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

実鈴子

Mizuko

みずこ

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

実果鈴

Mikarin

みかりん

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

鈴実愛

Remia

れみあ

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

実鈴子

Mireko

みれこ

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

鈴実

Rinmi

りんみ

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