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.

舞

Jōyō · KANJIDIC grade 8 · 15 strokes

dance, flit, circle

希

Jōyō · KANJIDIC grade 4 · 7 strokes

hope, beg, request

Find exact-kanji names →

Source rows containing both13

Distinct written forms11

Given-name readings11

Surname readings0

Adjacent 舞希 forms8

Adjacent 希舞 forms1

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

愛舞希

Ibuki

いぶき

2 source-recorded spellings in this reading group contain both 舞 and 希Given name

弥舞希

Mibuki

みぶき

2 source-recorded spellings in this reading group contain both 舞 and 希Given name

舞希

Maki

まき

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

舞希子

Makiko

まきこ

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

希舞

Kirari

きらり

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

舞結希

Mayuki

まゆき

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

舞結希

Ayuki

あゆき

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

舞涼希

Marino

まりの

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

舞希帆

Makiho

まきほ

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

舞希

Maiki

まいき

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

志舞希

Shibuki

しぶき

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

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.