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
阿see, hopes, chances
Jinmeiyō · KANJIDIC grade 9 · 8 strokes
Find exact-kanji names →Africa, flatter, fawn upon
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
阿佑見
11 source-recorded spellings in this reading group contain both 見 and 阿Given nameAyumi
あゆみ
阿見李
5 source-recorded spellings in this reading group contain both 見 and 阿Given nameAmiri
あみり
阿見恵
5 source-recorded spellings in this reading group contain both 見 and 阿SurnameAmie
あみえ
阿佐見
2 source-recorded spellings in this reading group contain both 見 and 阿Given nameAsami
あさみ
阿見乃
2 source-recorded spellings in this reading group contain both 見 and 阿Given nameAmino
あみの
阿見世
2 source-recorded spellings in this reading group contain both 見 and 阿Given nameAmiyo
あみよ
阿佐見
1 source-recorded spelling in this reading group contain both 見 and 阿Given nameAsami
あさみ
阿見
1 source-recorded spelling in this reading group contain both 見 and 阿Given nameAmi
あみ
阿見子
1 source-recorded spelling in this reading group contain both 見 and 阿SurnameAmiko
あみこ
阿見
1 source-recorded spelling in this reading group contain both 見 and 阿SurnameAmi
あみ
阿左見
1 source-recorded spelling in this reading group contain both 見 and 阿SurnameAzami
あざみ
阿間見
1 source-recorded spelling in this reading group contain both 見 and 阿SurnameAmami
あまみ
小阿見
1 source-recorded spelling in this reading group contain both 見 and 阿Koami
こあみ
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.