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.

都

Jinmeiyō · KANJIDIC grade 10 · 11 strokes

capital, metropolis

梨

Jōyō · KANJIDIC grade 4 · 11 strokes

pear tree

Find exact-kanji names →

Source rows containing both14

Distinct written forms13

Given-name readings11

Surname readings0

Adjacent 都梨 forms6

Adjacent 梨都 forms5

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

沙都梨

Satori

さとり

2 source-recorded spellings in this reading group contain both 都 and 梨Given name

真都梨

Matsuri

まつり

2 source-recorded spellings in this reading group contain both 都 and 梨Given name

梨都実

Ritsumi

りつみ

2 source-recorded spellings in this reading group contain both 都 and 梨Given name

古都梨

Kotori

ことり

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

梨都子

Ritsuko

りつこ

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

梨都

Rito

りと

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

梨紗都

Risato

りさと

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

麻都梨

Madori

まどり

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

梨都来

Ritsuki

りつき

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

都梨子

Toriko

とりこ

1 source-recorded spelling in this reading group contain both 都 and 梨Given name

梨々都

Ririto

りりと

1 source-recorded spelling in this reading group contain both 都 and 梨

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.