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.
沢
Jōyō · KANJIDIC grade 8 · 7 strokes
木swamp, marsh, brilliance
Jōyō · KANJIDIC grade 1 · 4 strokes
Find exact-kanji names →tree, wood
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
八木沢
2 source-recorded spellings in this reading group contain both 沢 and 木SurnameYagisawa
やぎさわ
槻ノ木沢
2 source-recorded spellings in this reading group contain both 沢 and 木SurnameTsukinokisawa
つきのきさわ
沢木
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameSawaki
さわき
世木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameSekizawa
せきざわ
木賀沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameKigasawa
きがさわ
木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameKisawa
きさわ
木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameKizawa
きざわ
沢良木
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameSawaragi
さわらぎ
八木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameYagizawa
やぎざわ
葉木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameHagizawa
はぎざわ
柧木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameHanokizawa
はのきざわ
久木沢
1 source-recorded spelling in this reading group contain both 沢 and 木SurnameKugisawa
くぎさわ
宇津木沢
1 source-recorded spelling in this reading group contain both 沢 and 木Utsugisawa
うつぎさわ
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.