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.

加

Jōyō · KANJIDIC grade 4 · 5 strokes

add, addition, increase

未

Jōyō · KANJIDIC grade 4 · 5 strokes

un-, not yet, hitherto

Find exact-kanji names →

Source rows containing both13

Distinct written forms12

Given-name readings12

Surname readings0

Adjacent 加未 forms1

Adjacent 未加 forms7

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

由未加

Yumika

ゆみか

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

加寿未

Kazumi

かずみ

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

加奈未

Kanami

かなみ

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

加寿未

Kasumi

かすみ

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

未加子

Mikako

みかこ

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

亜未加

Amika

あみか

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

江未加

Emika

えみか

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

希未加

Kimika

きみか

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

未侑加

Miyuka

みゆか

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

未加江

Mikae

みかえ

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

加未

Kami

かみ

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

未喜加

Mikika

みきか

1 source-recorded spelling in this reading group contain both 加 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.