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.

紗

Jinmeiyō · KANJIDIC grade 9 · 10 strokes

gauze, gossamer

有

Jōyō · KANJIDIC grade 3 · 6 strokes

possess, have, exist

Find exact-kanji names →

Source rows containing both19

Distinct written forms18

Given-name readings12

Surname readings0

Adjacent 紗有 forms8

Adjacent 有紗 forms4

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

有理紗

Arisa

ありさ

3 source-recorded spellings in this reading group contain both 紗 and 有Given name

有紗実

Asami

あさみ

2 source-recorded spellings in this reading group contain both 紗 and 有Given name

紗有理

Sayuri

さゆり

2 source-recorded spellings in this reading group contain both 紗 and 有Given name

紗有実

Sayumi

さゆみ

2 source-recorded spellings in this reading group contain both 紗 and 有Given name

紗有季

Sayuki

さゆき

2 source-recorded spellings in this reading group contain both 紗 and 有Given name

有実紗

Amisa

あみさ

2 source-recorded spellings in this reading group contain both 紗 and 有Given name

紗有香

Sayuka

さゆか

1 source-recorded spelling in this reading group contain both 紗 and 有Given name

紗有

Sayu

さゆ

1 source-recorded spelling in this reading group contain both 紗 and 有Given name

有紗

Yusa

ゆさ

1 source-recorded spelling in this reading group contain both 紗 and 有Given name

紗保有

Sahori

さほり

1 source-recorded spelling in this reading group contain both 紗 and 有Given name

有梨紗

Yurisa

ゆりさ

1 source-recorded spelling in this reading group contain both 紗 and 有Given name

有紗子

Usako

うさこ

1 source-recorded spelling in this reading group contain both 紗 and 有

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.