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.
莉
Jinmeiyō · KANJIDIC grade 9 · 10 strokes
紗jasmine
Jinmeiyō · KANJIDIC grade 9 · 10 strokes
Find exact-kanji names →gauze, gossamer
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
亜莉紗
6 source-recorded spellings in this reading group contain both 莉 and 紗Given nameArisa
ありさ
紗央莉
3 source-recorded spellings in this reading group contain both 莉 and 紗Given nameSaori
さおり
紗莉亜
3 source-recorded spellings in this reading group contain both 莉 and 紗Given nameSaria
さりあ
紗友莉
2 source-recorded spellings in this reading group contain both 莉 and 紗Given nameSayuri
さゆり
恵莉紗
2 source-recorded spellings in this reading group contain both 莉 and 紗Given nameErisa
えりさ
紗莉依
2 source-recorded spellings in this reading group contain both 莉 and 紗Given nameSarī
さりい
茉莉紗
2 source-recorded spellings in this reading group contain both 莉 and 紗Given nameMarisa
まりさ
莉紗
1 source-recorded spelling in this reading group contain both 莉 and 紗Given nameRisa
りさ
莉紗子
1 source-recorded spelling in this reading group contain both 莉 and 紗Given nameRisako
りさこ
紗莉
1 source-recorded spelling in this reading group contain both 莉 and 紗Given nameSari
さり
紗未莉
1 source-recorded spelling in this reading group contain both 莉 and 紗Given nameSamiri
さみり
愛莉紗
1 source-recorded spelling in this reading group contain both 莉 and 紗Given nameMerisa
めりさ
紗智莉
1 source-recorded spelling in this reading group contain both 莉 and 紗Given nameSachiri
さちり
聖莉紗
1 source-recorded spelling in this reading group contain both 莉 and 紗Serisa
せりさ
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.