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

那

Jōyō · KANJIDIC grade 8 · 7 strokes

what?

Find exact-kanji names →

Source rows containing both17

Distinct written forms17

Given-name readings11

Surname readings0

Adjacent 加那 forms9

Adjacent 那加 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

万那加

Manaka

まなか

4 source-recorded spellings in this reading group contain both 加 and 那Given name

加那恵

Kanae

かなえ

3 source-recorded spellings in this reading group contain both 加 and 那Given name

加那実

Kanami

かなみ

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

早那加

Sayaka

さやか

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

加那子

Kanako

かなこ

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

加那

Kana

かな

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

那加子

Nakako

なかこ

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

愛加那

Akana

あかな

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

加那多

Kanata

かなた

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

那莉加

Narika

なりか

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

那加夫

Nakao

なかお

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

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.