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

恋

Jōyō · KANJIDIC grade 8 · 10 strokes

romance, in love, yearn for

Find exact-kanji names →

Source rows containing both14

Distinct written forms8

Given-name readings11

Surname readings0

Adjacent 愛恋 forms2

Adjacent 恋愛 forms3

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

恋々愛

Kokoa

ここあ

4 source-recorded spellings in this reading group contain both 愛 and 恋Given name

愛恋

Ako

あこ

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

恋愛

Ren'a

れんあ

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

姫恋愛

Kurea

くれあ

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

愛恋

Eren

えれん

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

恋愛

Rea

れあ

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

愛恋

Aren

あれん

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

恋愛

Rabu

らぶ

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

愛楽恋

Arare

あられ

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

愛恋

Aire

あいれ

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

愛恋奈

Arena

あれな

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

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.