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.

阿

Jinmeiyō · KANJIDIC grade 9 · 8 strokes

Africa, flatter, fawn upon

梨

Jōyō · KANJIDIC grade 4 · 11 strokes

pear tree

Find exact-kanji names →

Source rows containing both30

Distinct written forms30

Given-name readings11

Surname readings0

Adjacent 阿梨 forms13

Adjacent 梨阿 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

阿梨佐

Arisa

ありさ

6 source-recorded spellings in this reading group contain both 阿 and 梨Given name

阿万梨

Amari

あまり

6 source-recorded spellings in this reading group contain both 阿 and 梨Given name

阿実梨

Amiri

あみり

4 source-recorded spellings in this reading group contain both 阿 and 梨Given name

阿也梨

Ayari

あやり

4 source-recorded spellings in this reading group contain both 阿 and 梨Given name

阿以梨

Airi

あいり

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

阿梨佳

Arika

ありか

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

阿梨実

Arimi

ありみ

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

阿梨須

Arisu

ありす

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

万梨阿

Maria

まりあ

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

阿梨

Ari

あり

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

阿梨子

Ariko

ありこ

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