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.

日

Jōyō · KANJIDIC grade 1 · 4 strokes

day, sun, Japan

里

Jōyō · KANJIDIC grade 2 · 7 strokes

ri, village, parent's home

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Source rows containing both29

Distinct written forms28

Given-name readings11

Surname readings0

Adjacent 日里 forms2

Adjacent 里日 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

日伽里

Hikari

ひかり

9 source-recorded spellings in this reading group contain both 日 and 里Given name

日依里

Hiyori

ひより

5 source-recorded spellings in this reading group contain both 日 and 里Given name

日万里

Himari

ひまり

5 source-recorded spellings in this reading group contain both 日 and 里Given name

日向里

Hinari

ひなり

2 source-recorded spellings in this reading group contain both 日 and 里Given name

日巴里

Hibari

ひばり

2 source-recorded spellings in this reading group contain both 日 and 里Given name

日里

Akari

あかり

1 source-recorded spelling in this reading group contain both 日 and 里Given name

里日

Satoka

さとか

1 source-recorded spelling in this reading group contain both 日 and 里Given name

日里

Hisato

ひさと

1 source-recorded spelling in this reading group contain both 日 and 里Given name

日良里

Hirari

ひらり

1 source-recorded spelling in this reading group contain both 日 and 里Given name

日桜里

Hiori

ひおり

1 source-recorded spelling in this reading group contain both 日 and 里Given name

明日里

Asuri

あすり

1 source-recorded spelling in this reading group contain both 日 and 里

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.