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.

優

Jōyō · KANJIDIC grade 6 · 17 strokes

tenderness, excel, surpass

音

Jōyō · KANJIDIC grade 1 · 9 strokes

sound, noise

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Source rows containing both16

Distinct written forms12

Given-name readings11

Surname readings0

Adjacent 優音 forms5

Adjacent 音優 forms1

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

優千音

Yukine

ゆきね

4 source-recorded spellings in this reading group contain both 優 and 音Given name

優羽音

Yūne

ゆうね

2 source-recorded spellings in this reading group contain both 優 and 音Given name

実優音

Miyune

みゆね

2 source-recorded spellings in this reading group contain both 優 and 音Given name

優音美

Hitomi

ひとみ

1 source-recorded spelling in this reading group contain both 優 and 音Given name

音優

Miyū

みゆう

1 source-recorded spelling in this reading group contain both 優 and 音Given name

優音

Yura

ゆら

1 source-recorded spelling in this reading group contain both 優 and 音Given name

優音

Yune

ゆね

1 source-recorded spelling in this reading group contain both 優 and 音Given name

優音

Yunon

ゆのん

1 source-recorded spelling in this reading group contain both 優 and 音Given name

亜優音

Ayune

あゆね

1 source-recorded spelling in this reading group contain both 優 and 音Given name

優音

Yuin

ゆいん

1 source-recorded spelling in this reading group contain both 優 and 音Given name

優波音

Yuhane

ゆはね

1 source-recorded spelling in this reading group contain both 優 and 音

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.