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.

三

Jōyō · KANJIDIC grade 1 · 3 strokes

three

登

Jōyō · KANJIDIC grade 3 · 12 strokes

ascend, climb up

Find exact-kanji names →

Source rows containing both12

Distinct written forms10

Given-name readings11

Surname readings0

Adjacent 三登 forms4

Adjacent 登三 forms4

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

三登利

Midori

みどり

2 source-recorded spellings in this reading group contain both 三 and 登Given name

登三子

Tomiko

とみこ

1 source-recorded spelling in this reading group contain both 三 and 登Given name

三登

Mito

みと

1 source-recorded spelling in this reading group contain both 三 and 登Given name

登三江

Tomie

とみえ

1 source-recorded spelling in this reading group contain both 三 and 登Given name

三登

Mitsunori

みつのり

1 source-recorded spelling in this reading group contain both 三 and 登Given name

三登志

Mitsutoshi

みつとし

1 source-recorded spelling in this reading group contain both 三 and 登Given name

登志三

Toshizō

としぞう

1 source-recorded spelling in this reading group contain both 三 and 登Given name

登三

Tōzō

とうぞう

1 source-recorded spelling in this reading group contain both 三 and 登Given name

三登志

Mitoshi

みとし

1 source-recorded spelling in this reading group contain both 三 and 登Given name

千登三

Chitomi

ちとみ

1 source-recorded spelling in this reading group contain both 三 and 登Given name

登美三郎

Tomisaburō

とみさぶろう

1 source-recorded spelling in this reading group contain both 三 and 登

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.