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.
Characters recorded with 茶
Only partners appearing in at least two distinct source-recorded written forms are highlighted here. That threshold keeps one-off combinations from looking more established than the corpus supports.
茶 + 子
9 distinct written forms · 9 source rows
6 given-name readings · 0 surname readings茶 + 実
4 distinct written forms · 4 source rows
4 given-name readings · 0 surname readings茶 + 乃
3 distinct written forms · 3 source rows
3 given-name readings · 0 surname readings茶 + 千
3 distinct written forms · 3 source rows
3 given-name readings · 0 surname readings茶 + 美
3 distinct written forms · 3 source rows
3 given-name readings · 0 surname readings茶 + 々
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 亜
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 八
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 和
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 恵
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 梨
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 歌
2 distinct written forms · 2 source rows
1 given-name readings · 0 surname readings茶 + 江
2 distinct written forms · 2 source rows
1 given-name readings · 0 surname readings茶 + 良
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 都
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readings茶 + 里
2 distinct written forms · 2 source rows
2 given-name readings · 0 surname readingsCo-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.