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.
未
Jōyō · KANJIDIC grade 4 · 5 strokes
江un-, not yet, hitherto
Jōyō · KANJIDIC grade 8 · 6 strokes
Find exact-kanji names →creek, inlet, bay
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
江未加
2 source-recorded spellings in this reading group contain both 未 and 江Given nameEmika
えみか
未菜江
2 source-recorded spellings in this reading group contain both 未 and 江Given nameMinae
みなえ
未加江
2 source-recorded spellings in this reading group contain both 未 and 江Given nameMikae
みかえ
江未子
1 source-recorded spelling in this reading group contain both 未 and 江Given nameEmiko
えみこ
江未
1 source-recorded spelling in this reading group contain both 未 and 江Given nameEmi
えみ
二未江
1 source-recorded spelling in this reading group contain both 未 and 江Given nameFumie
ふみえ
江未里
1 source-recorded spelling in this reading group contain both 未 and 江Given nameEmiri
えみり
未江
1 source-recorded spelling in this reading group contain both 未 and 江Given nameMie
みえ
未都江
1 source-recorded spelling in this reading group contain both 未 and 江Given nameMitsue
みつえ
未沙江
1 source-recorded spelling in this reading group contain both 未 and 江Given nameMisae
みさえ
由未江
1 source-recorded spelling in this reading group contain both 未 and 江Given nameYumie
ゆみえ
江津未
1 source-recorded spelling in this reading group contain both 未 and 江Given nameEtsumi
えつみ
未喜江
1 source-recorded spelling in this reading group contain both 未 and 江Given nameMikie
みきえ
江未緒
1 source-recorded spelling in this reading group contain both 未 and 江Emio
えみお
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.