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

夜

Jōyō · KANJIDIC grade 2 · 8 strokes

night, evening

Find exact-kanji names →

Source rows containing both11

Distinct written forms10

Given-name readings11

Surname readings0

Adjacent 実夜 forms3

Adjacent 夜実 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

輝夜実

Kiyomi

きよみ

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

実知夜

Michiyo

みちよ

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

実夜子

Miyoko

みよこ

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

実夜

Miya

みや

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

小夜実

Sayomi

さよみ

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

実夏夜

Mikayo

みかよ

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

実千夜

Michiya

みちや

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

小夜実

Koyomi

こよみ

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

実夜佳

Miyoka

みよか

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

夜実絵

Yomie

よみえ

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

千夜実

Chiyami

ちやみ

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

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.