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.

衣

Jōyō · KANJIDIC grade 4 · 6 strokes

garment, clothes, dressing

由

Jōyō · KANJIDIC grade 3 · 5 strokes

wherefore, a reason

Find exact-kanji names →

Source rows containing both19

Distinct written forms17

Given-name readings11

Surname readings0

Adjacent 衣由 forms1

Adjacent 由衣 forms12

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

万由衣

Mayuki

まゆき

4 source-recorded spellings in this reading group contain both 衣 and 由Given name

由衣加

Yuika

ゆいか

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

由規衣

Yukie

ゆきえ

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

由生衣

Yui

ゆい

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

由衣実

Yuimi

ゆいみ

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

由衣

Yoshie

よしえ

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

由衣奈

Yuina

ゆいな

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

由衣子

Yuiko

ゆいこ

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

由衣

Yūi

ゆうい

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

衣由

Iyori

いより

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

由紀衣

Yukī

ゆきい

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

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.