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.
千
Jōyō · KANJIDIC grade 1 · 3 strokes
佐thousand
Jōyō · KANJIDIC grade 4 · 7 strokes
Find exact-kanji names →assistant, help
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
千佐堵
3 source-recorded spellings in this reading group contain both 千 and 佐Given nameChisato
ちさと
佐千恵
3 source-recorded spellings in this reading group contain both 千 and 佐Given nameSachie
さちえ
佐千夫
3 source-recorded spellings in this reading group contain both 千 and 佐Given nameSachio
さちお
佐千世
2 source-recorded spellings in this reading group contain both 千 and 佐Given nameSachiyo
さちよ
佐千奈
2 source-recorded spellings in this reading group contain both 千 and 佐Given nameSachina
さちな
千佐実
2 source-recorded spellings in this reading group contain both 千 and 佐Given nameChisami
ちさみ
千佐世
2 source-recorded spellings in this reading group contain both 千 and 佐Given nameChisayo
ちさよ
佐千子
1 source-recorded spelling in this reading group contain both 千 and 佐Given nameSachiko
さちこ
千佐
1 source-recorded spelling in this reading group contain both 千 and 佐Given nameChisa
ちさ
千佐子
1 source-recorded spelling in this reading group contain both 千 and 佐Given nameChisako
ちさこ
佐千
1 source-recorded spelling in this reading group contain both 千 and 佐Given nameSachi
さち
千佐乃
1 source-recorded spelling in this reading group contain both 千 and 佐Given nameChisano
ちさの
佐千郎
1 source-recorded spelling in this reading group contain both 千 and 佐Sachirō
さちろう
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.