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

明

Jōyō · KANJIDIC grade 2 · 8 strokes

bright, light

Find exact-kanji names →

Source rows containing both13

Distinct written forms11

Given-name readings12

Surname readings0

Adjacent 紗明 forms1

Adjacent 明紗 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

明理紗

Arisa

ありさ

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

明紗香

Asaka

あさか

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

明紗

Misa

みさ

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

明紗

Akisa

あきさ

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

明紗子

Asako

あさこ

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

明紗

Asa

あさ

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

明柚紗

Ayusa

あゆさ

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

紗莉明

Saria

さりあ

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

明香紗

Mikasa

みかさ

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

紗明

Sāki

さあき

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

彩明紗

Sāsha

さあしゃ

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

明梨紗

Merisa

めりさ

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

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.