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.

月

Jōyō · KANJIDIC grade 1 · 4 strokes

month, moon

希

Jōyō · KANJIDIC grade 4 · 7 strokes

hope, beg, request

Find exact-kanji names →

Source rows containing both12

Distinct written forms12

Given-name readings11

Surname readings0

Adjacent 月希 forms9

Adjacent 希月 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

桜月希

Satsuki

さつき

2 source-recorded spellings in this reading group contain both 月 and 希Given name

未月希

Mizuki

みづき

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

菜月希

Natsuki

なつき

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

月希

Rui

るい

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

柚月希

Yuzuki

ゆづき

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

愛月希

Azuki

あづき

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

月希子

Tsukiko

つきこ

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

月羽希

Tsubaki

つばき

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

希月

Kizuki

きづき

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

紫月希

Shizuno

しずの

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

希祐月

Kyūgetsu

きゅうげつ

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

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.