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.
見
Jōyō · KANJIDIC grade 1 · 7 strokes
奈see, hopes, chances
Jōyō · KANJIDIC grade 4 · 8 strokes
Find exact-kanji names →Nara, what?
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
奈見恵
2 source-recorded spellings in this reading group contain both 見 and 奈Given nameNamie
なみえ
羽見奈
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameHaruna
はるな
美奈見
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameMinami
みなみ
奈々見
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameNanami
ななみ
奈津見
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameNatsumi
なつみ
見奈子
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameMinako
みなこ
見奈
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameMina
みな
奈見
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameNami
なみ
奈見子
1 source-recorded spelling in this reading group contain both 見 and 奈Given nameNamiko
なみこ
帆奈見
1 source-recorded spelling in this reading group contain both 見 and 奈SurnameHonami
ほなみ
見奈美
1 source-recorded spelling in this reading group contain both 見 and 奈SurnameMinami
みなみ
伊奈見
1 source-recorded spelling in this reading group contain both 見 and 奈SurnameInami
いなみ
八奈見
1 source-recorded spelling in this reading group contain both 見 and 奈Yanami
やなみ
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.