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.
李
Jinmeiyō · KANJIDIC grade 9 · 7 strokes
衣plum
Jōyō · KANJIDIC grade 4 · 6 strokes
Find exact-kanji names →garment, clothes, dressing
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
亜衣李
2 source-recorded spellings in this reading group contain both 李 and 衣Given nameAiri
あいり
絵李衣
2 source-recorded spellings in this reading group contain both 李 and 衣Given nameErī
えりい
李衣
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameRie
りえ
李衣子
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameRieko
りえこ
李衣
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameSatoe
さとえ
李衣
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameMoe
もえ
紗李衣
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameSarī
さりい
李衣梨
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameRīna
りいな
梨李衣
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameRirī
りりい
芽李衣
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameMerī
めりい
李衣吾
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameRīa
りいあ
李衣歩
1 source-recorded spelling in this reading group contain both 李 and 衣Given nameRīfu
りいふ
李衣良
1 source-recorded spelling in this reading group contain both 李 and 衣Rīra
りいら
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.