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.

玲

Jinmeiyō · KANJIDIC grade 9 · 9 strokes

sound of jewels

実

Jōyō · KANJIDIC grade 3 · 8 strokes

reality, truth, seed

Find exact-kanji names →

Source rows containing both15

Distinct written forms12

Given-name readings12

Surname readings0

Adjacent 玲実 forms5

Adjacent 実玲 forms6

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

春実玲

Sumire

すみれ

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

玲実

Reimi

れいみ

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

実玲友

Mireiyu

みれいゆ

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

実玲

Mirei

みれい

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

玲実

Tamami

たまみ

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

玲実

Remi

れみ

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

実玲

Miaki

みあき

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

土玲実

Doremi

どれみ

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

実玲奈

Mirena

みれな

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

玲実子

Remiko

れみこ

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

玲実衣

Remī

れみい

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

玲実莉

Remiri

れみり

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