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.

由

Jōyō · KANJIDIC grade 3 · 5 strokes

wherefore, a reason

姫

Jōyō · KANJIDIC grade 8 · 10 strokes

princess

Find exact-kanji names →

Source rows containing both14

Distinct written forms12

Given-name readings11

Surname readings0

Adjacent 由姫 forms9

Adjacent 姫由 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

由姫

Yūki

ゆうき

3 source-recorded spellings in this reading group contain both 由 and 姫Given name

実由姫

Miyuki

みゆき

2 source-recorded spellings in this reading group contain both 由 and 姫Given name

由姫子

Yukiko

ゆきこ

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

由姫

Yuki

ゆき

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

由姫恵

Yukie

ゆきえ

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

由姫乃

Yukino

ゆきの

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

由姫美

Yukimi

ゆきみ

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

由姫

Yume

ゆめ

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

麻由姫

Mayuki

まゆき

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

恋由姫

Koyuki

こゆき

1 source-recorded spelling in this reading group contain both 由 and 姫Given name

由愛姫

Yumeki

ゆめき

1 source-recorded spelling in this reading group contain both 由 and 姫

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.