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.

愛

Jōyō · KANJIDIC grade 4 · 13 strokes

love, affection, favourite

歌

Jōyō · KANJIDIC grade 2 · 14 strokes

song, sing

Find exact-kanji names →

Source rows containing both13

Distinct written forms9

Given-name readings11

Surname readings0

Adjacent 愛歌 forms4

Adjacent 歌愛 forms0

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

愛歌莉

Akari

あかり

2 source-recorded spellings in this reading group contain both 愛 and 歌Given name

愛理歌

Erika

えりか

2 source-recorded spellings in this reading group contain both 愛 and 歌Given name

愛歌

Ayaka

あやか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛歌音

Akane

あかね

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛清歌

Asuka

あすか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛歌

Aika

あいか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛真歌

Amika

あみか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛歌

Manaka

まなか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛莉歌

Arika

ありか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛歌

Itoka

いとか

1 source-recorded spelling in this reading group contain both 愛 and 歌Given name

愛歌

Sonata

そなた

1 source-recorded spelling in this reading group contain both 愛 and 歌

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.