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
佳pear tree
Jōyō · KANJIDIC grade 8 · 8 strokes
Find exact-kanji names →excellent, beautiful, good
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
恵梨佳
7 source-recorded spellings in this reading group contain both 梨 and 佳Given nameErika
えりか
亜佳梨
5 source-recorded spellings in this reading group contain both 梨 and 佳Given nameAkari
あかり
友佳梨
5 source-recorded spellings in this reading group contain both 梨 and 佳Given nameYukari
ゆかり
梨利佳
5 source-recorded spellings in this reading group contain both 梨 and 佳Given nameRirika
りりか
佑梨佳
3 source-recorded spellings in this reading group contain both 梨 and 佳Given nameYurika
ゆりか
安梨佳
3 source-recorded spellings in this reading group contain both 梨 and 佳Given nameArika
ありか
佳保梨
2 source-recorded spellings in this reading group contain both 梨 and 佳Given nameKahori
かほり
梨佳
1 source-recorded spelling in this reading group contain both 梨 and 佳Given nameRika
りか
日佳梨
1 source-recorded spelling in this reading group contain both 梨 and 佳Given nameHikari
ひかり
真梨佳
1 source-recorded spelling in this reading group contain both 梨 and 佳Given nameMarika
まりか
佳梨
1 source-recorded spelling in this reading group contain both 梨 and 佳Given nameKarin
かりん
梨佳子
1 source-recorded spelling in this reading group contain both 梨 and 佳Given nameRikako
りかこ
乃梨佳
1 source-recorded spelling in this reading group contain both 梨 and 佳Norika
のりか
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.