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.
梨
Jōyō · KANJIDIC grade 4 · 11 strokes
枝pear tree
Jōyō · KANJIDIC grade 5 · 8 strokes
Find exact-kanji names →bough, branch, twig
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
枝梨佳
7 source-recorded spellings in this reading group contain both 梨 and 枝Given nameErika
えりか
会枝梨
5 source-recorded spellings in this reading group contain both 梨 and 枝Given nameAeri
あえり
枝梨名
3 source-recorded spellings in this reading group contain both 梨 and 枝Given nameErina
えりな
友梨枝
3 source-recorded spellings in this reading group contain both 梨 and 枝Given nameYurie
ゆりえ
枝梨子
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameEriko
えりこ
梨枝
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameRie
りえ
枝梨
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameEri
えり
梨枝子
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameRieko
りえこ
紗枝梨
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameSaeri
さえり
萌梨枝
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameMorie
もりえ
心枝梨
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameShieri
しえり
久梨枝
1 source-recorded spelling in this reading group contain both 梨 and 枝Given nameKurie
くりえ
梨花枝
1 source-recorded spelling in this reading group contain both 梨 and 枝Rikae
りかえ
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.