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.

有

Jōyō · KANJIDIC grade 3 · 6 strokes

possess, have, exist

恵

Jōyō · KANJIDIC grade 8 · 10 strokes

favor, blessing, grace

Find exact-kanji names →

Source rows containing both21

Distinct written forms15

Given-name readings11

Surname readings0

Adjacent 有恵 forms3

Adjacent 恵有 forms0

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

有喜恵

Ukie

うきえ

6 source-recorded spellings in this reading group contain both 有 and 恵Given name

有季恵

Yukie

ゆきえ

4 source-recorded spellings in this reading group contain both 有 and 恵Given name

有李恵

Yurie

ゆりえ

2 source-recorded spellings in this reading group contain both 有 and 恵Given name

有恵

Arie

ありえ

2 source-recorded spellings in this reading group contain both 有 and 恵Given name

有実恵

Umie

うみえ

1 source-recorded spelling in this reading group contain both 有 and 恵Given name

有恵

Yue

ゆえ

1 source-recorded spelling in this reading group contain both 有 and 恵Given name

有美恵

Yumie

ゆみえ

1 source-recorded spelling in this reading group contain both 有 and 恵Given name

有恵

Naoe

なおえ

1 source-recorded spelling in this reading group contain both 有 and 恵Given name

柚有恵

Yūe

ゆうえ

1 source-recorded spelling in this reading group contain both 有 and 恵Given name

有恵留

Arieru

ありえる

1 source-recorded spelling in this reading group contain both 有 and 恵Given name

有恵

Arue

あるえ

1 source-recorded spelling in this reading group contain both 有 and 恵

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.