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.
木
Jōyō · KANJIDIC grade 1 · 4 strokes
良tree, wood
Jōyō · KANJIDIC grade 4 · 7 strokes
Find exact-kanji names →good, pleasing, skilled
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.
Surname
荒良木
2 source-recorded spellings in this reading group contain both 木 and 良SurnameAraki
あらき
沢良木
2 source-recorded spellings in this reading group contain both 木 and 良SurnameSawaragi
さわらぎ
大良木
2 source-recorded spellings in this reading group contain both 木 and 良SurnameTairagi
たいらぎ
千木良
1 source-recorded spelling in this reading group contain both 木 and 良SurnameChigira
ちぎら
比良木
1 source-recorded spelling in this reading group contain both 木 and 良SurnameHiraki
ひらき
久良木
1 source-recorded spelling in this reading group contain both 木 and 良SurnameKuraki
くらき
千木良
1 source-recorded spelling in this reading group contain both 木 and 良SurnameChigiri
ちぎり
奈良木
1 source-recorded spelling in this reading group contain both 木 and 良SurnameNaramoto
ならもと
阿良々木
1 source-recorded spelling in this reading group contain both 木 and 良SurnameAraragi
あららぎ
久多良木
1 source-recorded spelling in this reading group contain both 木 and 良SurnameKutaraki
くたらき
奈良木
1 source-recorded spelling in this reading group contain both 木 and 良SurnameNaraki
ならき
千木良
1 source-recorded spelling in this reading group contain both 木 and 良SurnameChikira
ちきら
木良
1 source-recorded spelling in this reading group contain both 木 and 良SurnameKiryō
きりょう
佐良木
1 source-recorded spelling in this reading group contain both 木 and 良Saraki
さらき
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.