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

紀

Jōyō · KANJIDIC grade 5 · 9 strokes

chronicle, account, narrative

Find exact-kanji names →

Source rows containing both12

Distinct written forms12

Given-name readings11

Surname readings0

Adjacent 万紀 forms9

Adjacent 紀万 forms0

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

万紀好

Makiko

まきこ

2 source-recorded spellings in this reading group contain both 万 and 紀Given name

万紀

Maki

まき

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

万沙紀

Masaki

まさき

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

多万紀

Tamaki

たまき

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

万紀恵

Makie

まきえ

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

万由紀

Mayuki

まゆき

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

万紀夫

Makio

まきお

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

小万紀

Komaki

こまき

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

万紀代

Makiyo

まきよ

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

万奈紀

Manaki

まなき

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

万紀亜

Makia

まきあ

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

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.