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.

月

Jōyō · KANJIDIC grade 1 · 4 strokes

month, moon

夏

Jōyō · KANJIDIC grade 2 · 10 strokes

summer

Find exact-kanji names →

Source rows containing both11

Distinct written forms6

Given-name readings11

Surname readings0

Adjacent 月夏 forms1

Adjacent 夏月 forms5

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

夏月

Natsuki

なつき

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

夏月海

Natsumi

なつみ

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

夏月

Kazuki

かづき

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

夏月

Runa

るな

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

夏月葉

Kazuyo

かづよ

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

夏月

Katsuki

かつき

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

夏月華

Kazuha

かづは

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

夏月

Karuna

かるな

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

月夏

Tsukika

つきか

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

夏月

Kagetsu

かげつ

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

実夏月

Mikazuki

みかづき

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

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.