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.

菜

Jōyō · KANJIDIC grade 4 · 11 strokes

vegetable, side dish, greens

詩

Jōyō · KANJIDIC grade 3 · 13 strokes

poem, poetry

Find exact-kanji names →

Source rows containing both14

Distinct written forms10

Given-name readings12

Surname readings0

Adjacent 菜詩 forms2

Adjacent 詩菜 forms3

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

詩似菜

Shīna

しいな

3 source-recorded spellings in this reading group contain both 菜 and 詩Given name

日菜詩

Hinata

ひなた

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩菜子

Shinako

しなこ

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩菜

Shina

しな

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

菜詩

Nau

なう

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩絵菜

Shiena

しえな

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩央菜

Shiona

しおな

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

菜詩

Tsukushi

つくし

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩菜乃

Shinano

しなの

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩菜

Una

うな

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

菜侑詩

Nayuta

なゆた

1 source-recorded spelling in this reading group contain both 菜 and 詩Given name

詩菜

Utana

うたな

1 source-recorded spelling in this reading group contain both 菜 and 詩

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.