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.

八

Jōyō · KANJIDIC grade 1 · 2 strokes

eight, eight radical (no. 12)

朗

Jinmeiyō · KANJIDIC grade 10 · 11 strokes

clear, bright, distinct

Find exact-kanji names →

Source rows containing both33

Distinct written forms33

Given-name readings10

Surname readings0

Adjacent 八朗 forms32

Adjacent 朗八 forms0

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

影八朗

Eihachirō

えいはちろう

10 source-recorded spellings in this reading group contain both 八 and 朗Given name

喜八朗

Kihachirō

きはちろう

8 source-recorded spellings in this reading group contain both 八 and 朗Given name

丞八朗

Sukehachirō

すけはちろう

8 source-recorded spellings in this reading group contain both 八 and 朗Given name

耕八朗

Kōhachirō

こうはちろう

1 source-recorded spelling in this reading group contain both 八 and 朗Given name

新八朗

Shinpachirō

しんぱちろう

1 source-recorded spelling in this reading group contain both 八 and 朗Given name

八一朗

Yaichirō

やいちろう

1 source-recorded spelling in this reading group contain both 八 and 朗Given name

八朗

Hachirō

はちろう

1 source-recorded spelling in this reading group contain both 八 and 朗Given name

昭八朗

Shōhachirō

しょうはちろう

1 source-recorded spelling in this reading group contain both 八 and 朗Given name

平八朗

Heihachirō

へいはちろう

1 source-recorded spelling in this reading group contain both 八 and 朗Given name

慶八朗

Keihachirō

けいはちろう

1 source-recorded spelling in this reading group contain both 八 and 朗

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.