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.
来
Jōyō · KANJIDIC grade 2 · 7 strokes
海come, due, next
Jinmeiyō · KANJIDIC grade 10 · 10 strokes
Find exact-kanji names →KANJIDIC2 character record
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
来海
2 source-recorded spellings in this reading group contain both 来 and 海Given nameKurumi
くるみ
海来
2 source-recorded spellings in this reading group contain both 来 and 海Given nameMikuru
みくる
来海夏
2 source-recorded spellings in this reading group contain both 来 and 海Given nameKumika
くみか
海来
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMiki
みき
海来
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMisaki
みさき
海来子
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMikiko
みきこ
来海
1 source-recorded spelling in this reading group contain both 来 and 海Given nameKumi
くみ
海来
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMiku
みく
来海
1 source-recorded spelling in this reading group contain both 来 and 海Given nameRui
るい
海来
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMirai
みらい
海来奈
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMikina
みきな
未来海
1 source-recorded spelling in this reading group contain both 来 and 海Given nameMirano
みらの
海来
1 source-recorded spelling in this reading group contain both 来 and 海Kaira
かいら
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.