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.
莉
Jinmeiyō · KANJIDIC grade 9 · 10 strokes
有jasmine
Jōyō · KANJIDIC grade 3 · 6 strokes
Find exact-kanji names →possess, have, exist
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
有莉南
4 source-recorded spellings in this reading group contain both 莉 and 有Given nameYurina
ゆりな
有莉
3 source-recorded spellings in this reading group contain both 莉 and 有Given nameYūri
ゆうり
有加莉
2 source-recorded spellings in this reading group contain both 莉 and 有Given nameYukari
ゆかり
有莉佳
2 source-recorded spellings in this reading group contain both 莉 and 有Given nameYurika
ゆりか
有香莉
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameAkari
あかり
有美莉
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameAmiri
あみり
有莉絵
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameYurie
ゆりえ
有莉
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameYuri
ゆり
有莉亜
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameYuria
ゆりあ
有莉亜
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameAria
ありあ
莉有
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameRea
れあ
有莉
1 source-recorded spelling in this reading group contain both 莉 and 有Given nameAriri
ありり
千有莉
1 source-recorded spelling in this reading group contain both 莉 and 有Chiyuri
ちゆり
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.