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.

明

Jōyō · KANJIDIC grade 2 · 8 strokes

bright, light

未

Jōyō · KANJIDIC grade 4 · 5 strokes

un-, not yet, hitherto

Find exact-kanji names →

Source rows containing both18

Distinct written forms13

Given-name readings12

Surname readings0

Adjacent 明未 forms8

Adjacent 未明 forms3

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

明未咲

Amisa

あみさ

3 source-recorded spellings in this reading group contain both 明 and 未Given name

明景未

Akemi

あけみ

2 source-recorded spellings in this reading group contain both 明 and 未Given name

明未果

Amika

あみか

2 source-recorded spellings in this reading group contain both 明 and 未Given name

明日未

Asumi

あすみ

2 source-recorded spellings in this reading group contain both 明 and 未Given name

未明

Mimei

みめい

2 source-recorded spellings in this reading group contain both 明 and 未Given name

明未

Akimi

あきみ

1 source-recorded spelling in this reading group contain both 明 and 未Given name

明未

Tomomi

ともみ

1 source-recorded spelling in this reading group contain both 明 and 未Given name

明未

Ami

あみ

1 source-recorded spelling in this reading group contain both 明 and 未Given name

明未莉

Amiri

あみり

1 source-recorded spelling in this reading group contain both 明 and 未Given name

麻未明

Mamia

まみあ

1 source-recorded spelling in this reading group contain both 明 and 未Given name

未明

Miaki

みあき

1 source-recorded spelling in this reading group contain both 明 and 未Given name

明未奈

Amina

あみな

1 source-recorded spelling in this reading group contain both 明 and 未

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.