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.
絵
Jōyō · KANJIDIC grade 2 · 12 strokes
麻picture, drawing, painting
Jōyō · KANJIDIC grade 8 · 11 strokes
Find exact-kanji names →hemp, flax, numb
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
麻利絵
6 source-recorded spellings in this reading group contain both 絵 and 麻Given nameMarie
まりえ
麻佐絵
3 source-recorded spellings in this reading group contain both 絵 and 麻Given nameMasae
まさえ
麻生絵
3 source-recorded spellings in this reading group contain both 絵 and 麻Given nameMakie
まきえ
麻絵実
2 source-recorded spellings in this reading group contain both 絵 and 麻Given nameMaemi
まえみ
麻未絵
2 source-recorded spellings in this reading group contain both 絵 and 麻Given nameMamie
まみえ
麻絵
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameAsae
あさえ
絵麻
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameEma
えま
麻奈絵
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameManae
まなえ
麻絵
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameMae
まえ
麻都絵
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameMatsue
まつえ
絵瑠麻
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameEruma
えるま
絵麻里
1 source-recorded spelling in this reading group contain both 絵 and 麻Given nameEmari
えまり
麻衣絵
1 source-recorded spelling in this reading group contain both 絵 and 麻Maie
まいえ
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.