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.

万

Jōyō · KANJIDIC grade 2 · 3 strokes

ten thousand, 10,000

愛

Jōyō · KANJIDIC grade 4 · 13 strokes

love, affection, favourite

Find exact-kanji names →

Source rows containing both13

Distinct written forms10

Given-name readings11

Surname readings0

Adjacent 万愛 forms3

Adjacent 愛万 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

万珠愛

Maria

まりあ

3 source-recorded spellings in this reading group contain both 万 and 愛Given name

万愛

Mai

まい

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

愛万里

Amari

あまり

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万愛弥

Māya

まあや

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

愛万音

Amane

あまね

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万愛

Mā

まあ

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万愛

Māi

まあい

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万乃愛

Manoa

まのあ

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万愛紗

Māsha

まーしゃ

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万姫愛

Makia

まきあ

1 source-recorded spelling in this reading group contain both 万 and 愛Given name

万愛

Manai

まない

1 source-recorded spelling in this reading group contain both 万 and 愛

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.