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.

玲

Jinmeiyō · KANJIDIC grade 9 · 9 strokes

sound of jewels

音

Jōyō · KANJIDIC grade 1 · 9 strokes

sound, noise

Find exact-kanji names →

Source rows containing both12

Distinct written forms4

Given-name readings11

Surname readings0

Adjacent 玲音 forms4

Adjacent 音玲 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

世玲音

Serene

せれね

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

玲音

Akine

あきね

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

玲音鳴

Reona

れおな

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

玲音

Reira

れいら

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

玲音

Reo

れお

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

玲音

Reon

れおん

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

玲音

Rein

れいん

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

玲音

Satone

さとね

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

玲音

Renon

れのん

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

玲音

Reine

れいね

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

玲音

Rene

れね

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