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.

二

Jōyō · KANJIDIC grade 1 · 2 strokes

two, two radical (no. 7)

男

Jōyō · KANJIDIC grade 1 · 7 strokes

male

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Source rows containing both22

Distinct written forms17

Given-name readings11

Surname readings0

Adjacent 二男 forms10

Adjacent 男二 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

不二男

Fujio

ふじお

6 source-recorded spellings in this reading group contain both 二 and 男Given name

二三男

Fumio

ふみお

5 source-recorded spellings in this reading group contain both 二 and 男Given name

久二男

Kunio

くにお

3 source-recorded spellings in this reading group contain both 二 and 男Given name

二男

Kazuo

かずお

1 source-recorded spelling in this reading group contain both 二 and 男Given name

二男

Tsuguo

つぐお

1 source-recorded spelling in this reading group contain both 二 and 男Given name

二男

Tsugio

つぎお

1 source-recorded spelling in this reading group contain both 二 and 男Given name

三男二

Mioji

みおじ

1 source-recorded spelling in this reading group contain both 二 and 男Given name

二男

Futao

ふたお

1 source-recorded spelling in this reading group contain both 二 and 男Given name

二男

Otō

おとお

1 source-recorded spelling in this reading group contain both 二 and 男Given name

男二郎

Danjirō

だんじろう

1 source-recorded spelling in this reading group contain both 二 and 男Given name

喜二男

Kijio

きじお

1 source-recorded spelling in this reading group contain both 二 and 男

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.