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.

希

Jōyō · KANJIDIC grade 4 · 7 strokes

hope, beg, request

佳

Jōyō · KANJIDIC grade 8 · 8 strokes

excellent, beautiful, good

Find exact-kanji names →

Source rows containing both11

Distinct written forms7

Given-name readings11

Surname readings0

Adjacent 希佳 forms3

Adjacent 佳希 forms1

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

希佳

Kiyoshi

きよし

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

希佳子

Kiyoko

きよこ

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

佳希

Yoshiki

よしき

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

亜希佳

Akika

あきか

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

希巳佳

Kimika

きみか

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

佳希

Kano

かの

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

佳津希

Katsuki

かつき

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

佳希

Keiki

けいき

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

希佳

Kika

きか

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

佳奈希

Kanaki

かなき

1 source-recorded spelling in this reading group contain both 希 and 佳Given name

希佳

Mareka

まれか

1 source-recorded spelling in this reading group contain both 希 and 佳

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.