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
生KANJIDIC2 character record
Jōyō · KANJIDIC grade 1 · 5 strokes
Find exact-kanji names →life, genuine, birth
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
海生
1 source-recorded spelling in this reading group contain both 海 and 生Given nameMiki
みき
生海
1 source-recorded spelling in this reading group contain both 海 and 生Given nameIkumi
いくみ
生海子
1 source-recorded spelling in this reading group contain both 海 and 生Given nameKimiko
きみこ
生海子
1 source-recorded spelling in this reading group contain both 海 and 生Given nameFumiko
ふみこ
生海
1 source-recorded spelling in this reading group contain both 海 and 生Given nameNarumi
なるみ
七海生
1 source-recorded spelling in this reading group contain both 海 and 生Given nameNamiki
なみき
志生海
1 source-recorded spelling in this reading group contain both 海 and 生Given nameShiomi
しおみ
悠生海
1 source-recorded spelling in this reading group contain both 海 and 生Given nameYuimi
ゆいみ
透生海
1 source-recorded spelling in this reading group contain both 海 and 生Given nameTōmi
とうみ
海生乃
1 source-recorded spelling in this reading group contain both 海 and 生Given nameMikino
みきの
海生花
1 source-recorded spelling in this reading group contain both 海 and 生Given nameMīka
みいか
生海
1 source-recorded spelling in this reading group contain both 海 and 生SurnameSeikai
せいかい
海生
1 source-recorded spelling in this reading group contain both 海 and 生Kaio
かいお
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.