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.

良

Jōyō · KANJIDIC grade 4 · 7 strokes

good, pleasing, skilled

紗

Jinmeiyō · KANJIDIC grade 9 · 10 strokes

gauze, gossamer

Find exact-kanji names →

Source rows containing both17

Distinct written forms13

Given-name readings12

Surname readings0

Adjacent 良紗 forms2

Adjacent 紗良 forms6

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

紗久良

Sakura

さくら

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

咲良紗

Sarasa

さらさ

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

希紗良

Kisara

きさら

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

紗良

Sara

さら

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

良紗

Tsukasa

つかさ

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

良紗

Kazusa

かずさ

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

紗良々

Sarara

さらら

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

紗沙良

Sasara

ささら

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

良紗

Rasa

らさ

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

紗枝良

Saera

さえら

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

紗由良

Sayura

さゆら

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

紗良

Shara

しゃら

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