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.

貴

Jōyō · KANJIDIC grade 6 · 12 strokes

precious, value, prize

紗

Jinmeiyō · KANJIDIC grade 9 · 10 strokes

gauze, gossamer

Find exact-kanji names →

Source rows containing both13

Distinct written forms13

Given-name readings12

Surname readings0

Adjacent 貴紗 forms5

Adjacent 紗貴 forms7

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

紗貴恵

Sakie

さきえ

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

美紗貴

Misaki

みさき

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

貴紗美

Asami

あさみ

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

紗貴

Saki

さき

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

紗貴子

Sakiko

さきこ

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

紗都貴

Satsuki

さつき

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

貴紗

Kisa

きさ

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

貴紗蘭

Kisara

きさら

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

千紗貴

Chisaki

ちさき

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

貴紗子

Kisako

きさこ

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

貴紗恵

Kisae

きさえ

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

紗貴香

Sakika

さきか

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

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.