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.

花

Jōyō · KANJIDIC grade 1 · 7 strokes

flower

紗

Jinmeiyō · KANJIDIC grade 9 · 10 strokes

gauze, gossamer

Find exact-kanji names →

Source rows containing both20

Distinct written forms18

Given-name readings11

Surname readings0

Adjacent 花紗 forms3

Adjacent 紗花 forms5

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

紗夜花

Sayaka

さやか

7 source-recorded spellings in this reading group contain both 花 and 紗Given name

亜紗花

Asaka

あさか

4 source-recorded spellings in this reading group contain both 花 and 紗Given name

紗花

Suzuka

すずか

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

月花紗

Tsukasa

つかさ

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

紗衣花

Saeka

さえか

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

紗都花

Satoka

さとか

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

紗由花

Sayuka

さゆか

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

花紗音

Kasane

かさね

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

紗里花

Sarika

さりか

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

紗花

Saka

さか

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

花紗鈴

Kyasarin

きゃさりん

1 source-recorded spelling in this reading group contain both 花 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.