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.
紀
Jōyō · KANJIDIC grade 5 · 9 strokes
絵chronicle, account, narrative
Jōyō · KANJIDIC grade 2 · 12 strokes
Find exact-kanji names →picture, drawing, painting
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
友紀絵
4 source-recorded spellings in this reading group contain both 紀 and 絵Given nameYukie
ゆきえ
右紀絵
4 source-recorded spellings in this reading group contain both 紀 and 絵Given nameUkie
うきえ
亜紀絵
3 source-recorded spellings in this reading group contain both 紀 and 絵Given nameAkie
あきえ
紀巳絵
2 source-recorded spellings in this reading group contain both 紀 and 絵Given nameKimie
きみえ
紀絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameNorie
のりえ
紀絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameKie
きえ
紀絵子
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameKieko
きえこ
紀世絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameKiyoe
きよえ
麻紀絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameMakie
まきえ
沙紀絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameSakie
さきえ
美紀絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameMikie
みきえ
紀久絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Given nameKikue
きくえ
多紀絵
1 source-recorded spelling in this reading group contain both 紀 and 絵Takie
たきえ
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.