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.
麻
Jōyō · KANJIDIC grade 8 · 11 strokes
依hemp, flax, numb
Jōyō · KANJIDIC grade 8 · 8 strokes
Find exact-kanji names →reliant, depend on, consequently
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
麻利依
2 source-recorded spellings in this reading group contain both 麻 and 依Given nameMarī
まりい
麻依実
2 source-recorded spellings in this reading group contain both 麻 and 依Given nameMaimi
まいみ
麻里依
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameMarie
まりえ
麻依
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameAi
あい
亜麻依
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameAoi
あおい
麻依子
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameMaiko
まいこ
麻依
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameMai
まい
依麻
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameEma
えま
麻奈依
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameManae
まなえ
依麻奈
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameIona
いおな
麻宇依
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameMaui
まうい
麻依亜
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameMaia
まいあ
麻依紗
1 source-recorded spelling in this reading group contain both 麻 and 依Given nameMaisa
まいさ
麻依夢
1 source-recorded spelling in this reading group contain both 麻 and 依Maimu
まいむ
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.