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.

夏

Jōyō · KANJIDIC grade 2 · 10 strokes

summer

葉

Jōyō · KANJIDIC grade 3 · 12 strokes

leaf, plane, lobe

Find exact-kanji names →

Source rows containing both14

Distinct written forms10

Given-name readings11

Surname readings0

Adjacent 夏葉 forms7

Adjacent 葉夏 forms2

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

夏葉子

Kayoko

かよこ

2 source-recorded spellings in this reading group contain both 夏 and 葉Given name

亜夏葉

Ageha

あげは

2 source-recorded spellings in this reading group contain both 夏 and 葉Given name

安夏葉

Akaha

あかは

2 source-recorded spellings in this reading group contain both 夏 and 葉Given name

葉夏

Hana

はな

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

夏葉

Kayo

かよ

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

葉夏子

Hanako

はなこ

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

夏月葉

Kazuyo

かづよ

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

夏葉

Nanoha

なのは

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

夏葉

Natsuyo

なつよ

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

夏葉

Kayō

かよう

1 source-recorded spelling in this reading group contain both 夏 and 葉Given name

夏葉

Natsuha

なつは

1 source-recorded spelling in this reading group contain both 夏 and 葉

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.