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.
茉
Jinmeiyō · KANJIDIC grade 9 · 8 strokes
希jasmine
Jōyō · KANJIDIC grade 4 · 7 strokes
Find exact-kanji names →hope, beg, request
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
茉希恵
2 source-recorded spellings in this reading group contain both 茉 and 希Given nameMakie
まきえ
茉希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMaki
まき
茉希子
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMakiko
まきこ
茉咲希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMasaki
まさき
茉柚希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMayuki
まゆき
茉希乃
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMakino
まきの
千茉希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameChimaki
ちまき
小茉希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameKomaki
こまき
茉希奈
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMakina
まきな
茉希帆
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMakiho
まきほ
茉衣希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMaiki
まいき
茉央希
1 source-recorded spelling in this reading group contain both 茉 and 希Given nameMaoki
まおき
十茉希
1 source-recorded spelling in this reading group contain both 茉 and 希Tomaki
とまき
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.