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.

姫

Jōyō · KANJIDIC grade 8 · 10 strokes

princess

香

Jōyō · KANJIDIC grade 4 · 9 strokes

incense, smell, perfume

Find exact-kanji names →

Source rows containing both11

Distinct written forms8

Given-name readings11

Surname readings0

Adjacent 姫香 forms2

Adjacent 香姫 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

香姫

Kōki

こうき

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

姫香莉

Hikari

ひかり

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

香月姫

Kazuki

かづき

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

姫香

Himeka

ひめか

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

姫香

Kikyō

ききょう

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

姫莉香

Kirika

きりか

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

姫奈香

Hinaka

ひなか

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

姫香

Himeko

ひめこ

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

姫香

Hika

ひか

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

姫爽香

Hisoka

ひそか

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

香菜姫

Kanaki

かなき

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

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.