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.
那
Jōyō · KANJIDIC grade 8 · 7 strokes
璃what?
Jōyō · KANJIDIC grade 8 · 15 strokes
Find exact-kanji names →glassy, lapis lazuli
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
侑璃那
13 source-recorded spellings in this reading group contain both 那 and 璃Given nameYurina
ゆりな
万璃那
2 source-recorded spellings in this reading group contain both 那 and 璃Given nameMarina
まりな
恵璃那
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameErina
えりな
璃那
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameRina
りな
華璃那
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameKarina
かりな
維璃那
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameIrina
いりな
璃央那
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameRiona
りおな
那璃
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameNaru
なる
那々璃
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameNanari
ななり
璃那子
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameRinako
りなこ
凛璃那
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameRirina
りりな
姫那璃
1 source-recorded spelling in this reading group contain both 那 and 璃Given nameKinari
きなり
瑠璃那
1 source-recorded spelling in this reading group contain both 那 and 璃Rurina
るりな
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.