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.

良

Jōyō · KANJIDIC grade 4 · 7 strokes

good, pleasing, skilled

衣

Jōyō · KANJIDIC grade 4 · 6 strokes

garment, clothes, dressing

Find exact-kanji names →

Source rows containing both15

Distinct written forms13

Given-name readings12

Surname readings0

Adjacent 良衣 forms5

Adjacent 衣良 forms8

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

亜衣良

Aira

あいら

3 source-recorded spellings in this reading group contain both 良 and 衣Given name

世衣良

Seira

せいら

2 source-recorded spellings in this reading group contain both 良 and 衣Given name

良衣

Yoshie

よしえ

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

美良衣

Mirai

みらい

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

良衣

Rai

らい

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

良衣羅

Raira

らいら

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

良衣夢

Raimu

らいむ

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

良衣菜

Raina

らいな

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

結衣良

Yuira

ゆいら

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

彩衣良

Saira

さいら

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

衣良

Ira

いら

1 source-recorded spelling in this reading group contain both 良 and 衣Given name

李衣良

Rīra

りいら

1 source-recorded spelling in this reading group contain both 良 and 衣

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.