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
真KANJIDIC2 character record
Jōyō · KANJIDIC grade 3 · 10 strokes
Find exact-kanji names →true, reality, Buddhist sect
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
真南海
3 source-recorded spellings in this reading group contain both 海 and 真Given nameManami
まなみ
真海
2 source-recorded spellings in this reading group contain both 海 and 真Given nameMasami
まさみ
海真珠
2 source-recorded spellings in this reading group contain both 海 and 真Given nameMarin
まりん
真珠海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameMasumi
ますみ
真夕海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameMayumi
まゆみ
真海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameMami
まみ
真珠海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameMaria
まりあ
真海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameMahiro
まひろ
真里海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameMarimi
まりみ
真海子
1 source-recorded spelling in this reading group contain both 海 and 真SurnameSamiko
さみこ
真海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameShinkai
しんかい
真海
1 source-recorded spelling in this reading group contain both 海 and 真Given nameShinkai
しんかい
真海
1 source-recorded spelling in this reading group contain both 海 and 真Maumi
まうみ
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.