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.
多
Jōyō · KANJIDIC grade 2 · 6 strokes
賀many, frequent, much
Jōyō · KANJIDIC grade 4 · 12 strokes
Find exact-kanji names →congratulations, joy
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
多賀夫
4 source-recorded spellings in this reading group contain both 多 and 賀Given nameTakao
たかお
多賀史
3 source-recorded spellings in this reading group contain both 多 and 賀Given nameTakashi
たかし
多賀子
2 source-recorded spellings in this reading group contain both 多 and 賀Given nameTakako
たかこ
多賀夫
2 source-recorded spellings in this reading group contain both 多 and 賀Given nameTagao
たがお
多賀之
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTakayuki
たかゆき
多賀恵
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTakae
たかえ
多賀美
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTakami
たかみ
多賀代
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTakayo
たかよ
由多賀
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameYutaka
ゆたか
多賀音
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTakane
たかね
多賀治
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTakaji
たかじ
多賀
1 source-recorded spelling in this reading group contain both 多 and 賀Given nameTaka
たか
多賀市
1 source-recorded spelling in this reading group contain both 多 and 賀Takaichi
たかいち
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.