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.

麻

Jōyō · KANJIDIC grade 8 · 11 strokes

hemp, flax, numb

音

Jōyō · KANJIDIC grade 1 · 9 strokes

sound, noise

Find exact-kanji names →

Source rows containing both16

Distinct written forms11

Given-name readings11

Surname readings0

Adjacent 麻音 forms6

Adjacent 音麻 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

亜麻音

Amane

あまね

3 source-recorded spellings in this reading group contain both 麻 and 音Given name

麻梨音

Marine

まりね

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

麻理音

Marion

まりおん

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

麻智音

Machine

まちね

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

麻音

Mao

まお

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

麻音子

Maoko

まおこ

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

麻音

Manon

まのん

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

麻音

Mane

まね

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

麻音

Main

まいん

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

麻音

One

おね

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

志麻音

Shimane

しまね

1 source-recorded spelling in this reading group contain both 麻 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.