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.

彩

Jōyō · KANJIDIC grade 8 · 11 strokes

coloring, paint, makeup

結

Jōyō · KANJIDIC grade 4 · 12 strokes

tie, bind, contract

Find exact-kanji names →

Source rows containing both11

Distinct written forms9

Given-name readings11

Surname readings0

Adjacent 彩結 forms3

Adjacent 結彩 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

彩結美

Ayumi

あゆみ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結彩

Yui

ゆい

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

彩結

Ayu

あゆ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結彩

Yūa

ゆうあ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結梨彩

Yurisa

ゆりさ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結実彩

Yumisa

ゆみさ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

彩結菜

Sayuna

さゆな

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結衣彩

Yuisa

ゆいさ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結芽彩

Yumesa

ゆめさ

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

彩結

Sayui

さゆい

1 source-recorded spelling in this reading group contain both 彩 and 結Given name

結彩美

Yusami

ゆさみ

1 source-recorded spelling in this reading group contain both 彩 and 結

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.