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.
耶
Jinmeiyō · KANJIDIC grade 9 · 9 strokes
麻question mark
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
麻実耶
3 source-recorded spellings in this reading group contain both 耶 and 麻Given nameMamiya
まみや
麻亜耶
2 source-recorded spellings in this reading group contain both 耶 and 麻Given nameMāya
まあや
麻耶加
2 source-recorded spellings in this reading group contain both 耶 and 麻Given nameMayaka
まやか
麻耶美
2 source-recorded spellings in this reading group contain both 耶 and 麻Given nameMayami
まやみ
麻耶加
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameAyaka
あやか
麻耶
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameAya
あや
麻耶
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameMana
まな
麻耶
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameMaya
まや
麻耶子
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameMayako
まやこ
麻里耶
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameMariya
まりや
麻耶
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameAsaya
あさや
麻耶奈
1 source-recorded spelling in this reading group contain both 耶 and 麻Given nameMayana
まやな
麻耶里
1 source-recorded spelling in this reading group contain both 耶 and 麻Mayari
まやり
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.