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

紅

Jōyō · KANJIDIC grade 6 · 9 strokes

crimson, deep red

Find exact-kanji names →

Source rows containing both14

Distinct written forms11

Given-name readings11

Surname readings0

Adjacent 実紅 forms3

Adjacent 紅実 forms5

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

久実紅

Kumiko

くみこ

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

亜紅実

Tsugumi

つぐみ

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

紅瑠実

Kurumi

くるみ

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

紅実

Kumi

くみ

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

実紅

Miku

みく

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

小紅実

Kokomi

ここみ

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

実紅子

Mikuko

みくこ

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

紅実

Momi

もみ

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

紅実

Kuremi

くれみ

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

紅紫実

Kushimi

くしみ

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

実紅

Minku

みんく

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

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.