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.
璃
Jōyō · KANJIDIC grade 8 · 15 strokes
美glassy, lapis lazuli
Jōyō · KANJIDIC grade 3 · 9 strokes
Find exact-kanji names →beauty, beautiful
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
依美璃
4 source-recorded spellings in this reading group contain both 璃 and 美Given nameEmiri
えみり
万美璃
4 source-recorded spellings in this reading group contain both 璃 and 美Given nameMamiri
まみり
明美璃
2 source-recorded spellings in this reading group contain both 璃 and 美Given nameAmiri
あみり
美乃璃
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMinori
みのり
美璃
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMiri
みり
美夢璃
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMiyuri
みゆり
璃美
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameRimi
りみ
美華璃
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMikari
みかり
美璃亜
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMiria
みりあ
夕璃美
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameYurimi
ゆりみ
美璃子
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMiriko
みりこ
美瑠璃
1 source-recorded spelling in this reading group contain both 璃 and 美Given nameMiruri
みるり
璃玖美
1 source-recorded spelling in this reading group contain both 璃 and 美Rikumi
りくみ
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.