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.
海
Jinmeiyō · KANJIDIC grade 10 · 10 strokes
瑠KANJIDIC2 character record
Jōyō · KANJIDIC grade 8 · 14 strokes
Find exact-kanji names →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
久瑠海
2 source-recorded spellings in this reading group contain both 海 and 瑠Given nameKurumi
くるみ
瑠海
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRuka
るか
瑠海
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRui
るい
海千瑠
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameMichiru
みちる
瑠海
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRumi
るみ
海来瑠
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameMikuru
みくる
瑠海夏
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRumika
るみか
海瑠
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameMiru
みる
亜海瑠
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameAmiru
あみる
瑠海
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRūna
るうな
瑠々海
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRuruka
るるか
瑠海香
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRūka
るうか
瑠璃海
1 source-recorded spelling in this reading group contain both 海 and 瑠Given nameRuria
るりあ
海瑠璃
1 source-recorded spelling in this reading group contain both 海 and 瑠Miruri
みるり
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.