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.
有
Jōyō · KANJIDIC grade 3 · 6 strokes
記possess, have, exist
Jōyō · KANJIDIC grade 2 · 10 strokes
Find exact-kanji names →scribe, account, narrative
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
有記夫
3 source-recorded spellings in this reading group contain both 有 and 記Given nameYukio
ゆきお
未有記
2 source-recorded spellings in this reading group contain both 有 and 記Given nameMiyuki
みゆき
有記実
2 source-recorded spellings in this reading group contain both 有 and 記Given nameYukimi
ゆきみ
有記子
1 source-recorded spelling in this reading group contain both 有 and 記Given nameYukiko
ゆきこ
有記
1 source-recorded spelling in this reading group contain both 有 and 記Given nameYūki
ゆうき
有記
1 source-recorded spelling in this reading group contain both 有 and 記Given nameYuki
ゆき
有記恵
1 source-recorded spelling in this reading group contain both 有 and 記Given nameUkie
うきえ
有記子
1 source-recorded spelling in this reading group contain both 有 and 記Given nameUkiko
うきこ
有記浩
1 source-recorded spelling in this reading group contain both 有 and 記Given nameYukihiro
ゆきひろ
有記憲
1 source-recorded spelling in this reading group contain both 有 and 記Given nameYukinori
ゆきのり
一有記
1 source-recorded spelling in this reading group contain both 有 and 記Given nameKazuyuki
かずゆき
有記
1 source-recorded spelling in this reading group contain both 有 and 記Given nameMotonori
もとのり
佳有記
1 source-recorded spelling in this reading group contain both 有 and 記Kayuki
かゆき
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.