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 藏
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.
藏 + 内
4 distinct written forms · 4 source rows
0 given-name readings · 4 surname readings藏 + 下
3 distinct written forms · 3 source rows
0 given-name readings · 2 surname readings藏 + 井
3 distinct written forms · 3 source rows
0 given-name readings · 2 surname readings藏 + 寺
3 distinct written forms · 3 source rows
0 given-name readings · 1 surname readings藏 + 田
3 distinct written forms · 3 source rows
0 given-name readings · 2 surname readings藏 + 立
2 distinct written forms · 3 source rows
0 given-name readings · 3 surname readings藏 + 中
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 之
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 光
2 distinct written forms · 2 source rows
1 given-name readings · 1 surname readings藏 + 前
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 宝
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 寳
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 居
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 本
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 永
2 distinct written forms · 2 source rows
0 given-name readings · 2 surname readings藏 + 石
2 distinct written forms · 2 source rows
0 given-name readings · 2 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.