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.

里

Jōyō · KANJIDIC grade 2 · 7 strokes

ri, village, parent's home

舞

Jōyō · KANJIDIC grade 8 · 15 strokes

dance, flit, circle

Find exact-kanji names →

Source rows containing both11

Distinct written forms9

Given-name readings11

Surname readings0

Adjacent 里舞 forms2

Adjacent 舞里 forms6

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

舞里香

Marika

まりか

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里子

Mariko

まりこ

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里奈

Marina

まりな

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里

Mari

まり

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里愛

Maria

まりあ

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里香

Maika

まいか

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里望

Marino

まりの

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞桜里

Maori

まおり

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

里舞

Ribu

りぶ

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

舞里

Mairi

まいり

1 source-recorded spelling in this reading group contain both 里 and 舞Given name

里舞子

Rimako

りまこ

1 source-recorded spelling in this reading group contain both 里 and 舞

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.