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

佳

Jōyō · KANJIDIC grade 8 · 8 strokes

excellent, beautiful, good

Find exact-kanji names →

Source rows containing both21

Distinct written forms18

Given-name readings12

Surname readings0

Adjacent 紗佳 forms5

Adjacent 佳紗 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

紗也佳

Sayaka

さやか

8 source-recorded spellings in this reading group contain both 紗 and 佳Given name

亜紗佳

Asaka

あさか

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

亜紗佳

Asuka

あすか

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

紗佳子

Sayoko

さよこ

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

紗衣佳

Saika

さいか

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

紗由佳

Sayuka

さゆか

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

佳紗音

Kasane

かさね

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

紗里佳

Sarika

さりか

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

和佳紗

Wakasa

わかさ

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

紗佳

Kinuka

きぬか

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

紗佳

Saka

さか

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

紗乃佳

Sanoka

さのか

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

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.