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.

詩

Jōyō · KANJIDIC grade 3 · 13 strokes

poem, poetry

美

Jōyō · KANJIDIC grade 3 · 9 strokes

beauty, beautiful

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Source rows containing both16

Distinct written forms14

Given-name readings12

Surname readings0

Adjacent 詩美 forms4

Adjacent 美詩 forms2

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

詩帆美

Shihomi

しほみ

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

誉詩美

Yoshimi

よしみ

2 source-recorded spellings in this reading group contain both 詩 and 美Given name

詩央美

Shiomi

しおみ

2 source-recorded spellings in this reading group contain both 詩 and 美Given name

美詩

Miu

みう

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

詩美

Kotomi

ことみ

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

詩美

Umi

うみ

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

風詩美

Fujimi

ふじみ

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

美詩

Miuta

みうた

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

詩七美

Shinami

しなみ

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

詩乃美

Shinomi

しのみ

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

美詩子

Mishiko

みしこ

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

詩永美

Shiemi

しえみ

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

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.